IT-molnspecialist - Lediga jobb

Vill du leda förändringsarbete där verksamhet, processer och digitalisering möts? Hos oss får du en nyckelroll i att utveckla lager- och logistikprocesserna i en global miljö.

Varför Sandvik?

Här blir du del av en innovativ organisation som satsar på digitalisering, hållbarhet och verksamhetsutveckling. Vi tror på ansvar, samarbete och att ge våra medarbetare möjlighet att påverka och växa.

• Du spelar en central roll i förändringsarbete som gör skillnad.

• Du får jobba i ett team med kompetens och globala kontaktytor.

• Du utvecklar både processer och människor i en spännande organisation.

Om jobbet

I den här rollen arbetar du nära verksamheten inom Production Unit Sweden, med placering i Sandviken eller Västberga. Du leder utvecklingsinitiativ inom lager- och logistikområdet och fungerar som länken mellan verksamheten och våra globala SAP EWM-funktioner, så att förändringar blir hållbara och skapar värde i den dagliga driften.

Dina arbetsupggifter:

• Driver förändrings- och förbättringsinitiativ inom lager- och logistikprocesser.

• Stöttar verksamheten vid införande av nya arbetssätt och systemlösningar.

• Identifierar utvecklingsmöjligheter och omsätter behov till effektiva processer.

• Samarbetar med globala processägare och SAP EWM-specialister för att säkra lösningar.

• Leder workshops, utbildningar och dialoger för förankring och engagemang.

• Bidrar i projekt och implementationer kopplade till SAP EWM.

• Följer upp effekter av förändringar för långsiktig efterlevnad.

Om dig

Du har erfarenhet av att driva förändringsarbete i en miljö där processer, människor och system möts. Du förstår lager- och logistikflöden och ser värdet av att utveckla arbetssätt och digitala lösningar. Du är van att omsätta verksamhetsbehov till konkreta förbättringar.

Vi ser att du har:

• Kunskap i förändringsledning, process- eller verksamhetsutveckling inom industri, logistik eller supply chain.

• Förståelse för lager- och logistikprocesser och SAP EWM, SAP S/4HANA eller liknande system.

• Vana att leda workshops och utbildningar i tvärfunktionella initiativ.

• Stark kommunikativ förmåga på svenska och engelska.

• Eftergymnasial utbildning inom logistik, produktion, teknik eller industriell ekonomi.

Som person är du engagerad och får människor med dig. Du är strukturerad, prestigelös och gillar att skapa gemensamma mål och praktiska resultat. Du motiveras av att se förändring bli verklighet.

Du kommunicerar obehindrat på Svenska och Engelska.

Om oss

På Sandvik är vi övertygade om att mångfald leder till en bättre omgivning för våra anställda, vårt företag och våra kunder. Hos oss ska du alltid känna att du kan vara dig själv på jobbet. Vi vet att du då har störst möjligheter att nå din fulla potential och bidra till vår framgång. Var unik. Behåll din nyfikenhet. Det gillar vi! EXTERN: Vill du veta mer om oss tipsar vi om ett besök på vår hemsida, LinkedIn eller Facebook.

Kontaktinformation

För mer information om tjänsten är du välkommen att kontakta Frida Edler, rekryterande chef, frida.edler@sandvik.com

Vi har tagit ställning till vilka rekryteringskanaler och vilken typ av marknadsföring vi vill använda och undanber vänligen men bestämt ytterligare kontakter.

• Cecilia Mickelsson, Unionen, 070 616 90 89

• Fredrik Andersson, Akademikerföreningen , 070 266 78 50

• Erik Kjerf, Akademikerföreningen, 070 616 36 72

• Olle Hansson, Ledarna, 070-650 57 43

Ansvarig rekryterare: Gustaf Sjögren

Ansökan

Skicka in din ansökan senast 24e Augusti, 2026. Klicka på ansök och bifoga där CV och personligt brev. Observera att vi inte tar emot ansökningar via e-post. Jobb-id: R0090958.

För frågor angående rekryteringsprocessen kontakta HR Services på hrservices.sweden@sandvik.com.

Affärsområde Mining är en globalt ledande utrustning och verktyg, reservdelar, tjänster, digitala lösningar och hållbara teknologier för gruv- och infrastruktursindustrierna. Tillämpningsområden omfattar bergborrning, bergavverkning, lastning och transportlösningar, tunneldrivning och stenbrytning. Omsättningen 2025 var cirka 63 miljarder SEK och antalet anställda omkring 18 400.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.

At Electrolux Group, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together.

Join us in our exciting quest to build the future home.

All about the role:

As a Data Engineering Manager, you are a leader of builders. You are not just a people manager; you are a technical authority who has grown from the ground up in Data Engineering.

Your mission is twofold: to accelerate the professional growth of your engineers and to steer your team toward building state-of-the-art AI and data solutions that business stakeholders trust to drive revenue. You will be responsible for a high-performing organization where technical excellence and business acumen are the standard.

Key responsibilities:

• People Leadership: Actively coach and mentor Data Engineers to grow their technical and leadership skills. You are responsible for the career trajectory and performance of your team.
• 
  
• Technical Authority: Serve as a hands-on technical lead when necessary. You must be able to dive into code reviews, architectural discussions, and system design to ensure the team maintains a high technical bar.
• 
  
• Business Alignment: Partner with business stakeholders to translate their goals into technical roadmaps. Ensure your team’s output is viewed as a "Revenue Center" by delivering trusted, high-impact data products. Define and report Key Performance Indicators and launch impact as part of regular business reviews and contribute to metric-based annual quarterly objectives and key results (OKR) setting.
• 
  
• Solution Strategy: Steer the team in building scalable, modern data architectures (Data Mesh/Medallion) that enable advanced AI and agentic flows.
• 
  
• Operational Excellence: Own the reliability, security, and cost-efficiency of the data platform within your domain. Drive a culture of "you build it, you run it."

The Tech stack:

Our platform is built on a state-of-the-art modern stack. You will oversee a landscape that leverages:

• Processing & Analytics: High-scale processing via Azure Databricks, Python, and PySpark.
• 
  
• Transformation & Ingestion: Modern data modeling with dbt and cloud-native ingestion via Azure Data Factory (ADF).
• 
  
• Orchestration & DevOps: Complex workflow management using Apache Airflow and a robust CI/CD culture centered on GitHub.

Qualifications:

• Experience: Solid and progressive (several years) experience in Data Engineering, with at least 3-5 years in a leadership or management role.
• 
  
• Technical Background: You must have a proven track record as a hands-on builder in cloud-based data environments (preferably Azure Databricks).
• 
  
• Leadership Philosophy: Demonstrated success in developing engineering talent and building high-performing, autonomous teams.
• 
  
• Communication: Ability to bridge the gap between deep technical implementation and C-suite business strategy.
• 
  
• Problem Solving: Experience handling large-scale technical ambiguity and delivering solutions that directly impact company revenue.

While our mission is driven by business outcomes, you will lead a team that plays with the industry's best tools to solve the world's most interesting data and AI challenges.

Where you'll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

We look forward to receiving your application!

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.