Datavetare - Lediga jobb

Cyber Instincts is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you!

Depending on the assignment, the work might involve:

• Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse

• Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers

• Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources

• Supporting analytics and BI teams with clean, reliable, well-modeled data

What you'll bring:

• At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment

• Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines)

• Strong SQL and programming skills in Python or similar

• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks

• An understanding of data quality and governance, and how to build pipelines that scale without silently breaking

• A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau

Across all assignments:

• Comfortable working independently inside a client's existing tech stack and team

• Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders

• Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer

This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.

Cyber Instincts is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you!

Depending on the assignment, the work might involve:

• Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse

• Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers

• Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources

• Supporting analytics and BI teams with clean, reliable, well-modeled data

What you'll bring:

• At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment

• Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines)

• Strong SQL and programming skills in Python or similar

• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks

• An understanding of data quality and governance, and how to build pipelines that scale without silently breaking

• A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau

Across all assignments:

• Comfortable working independently inside a client's existing tech stack and team

• Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders

• Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer

This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.

Cyber Instincts is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you!

Depending on the assignment, the work might involve:

• Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse

• Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers

• Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources

• Supporting analytics and BI teams with clean, reliable, well-modeled data

What you'll bring:

• At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment

• Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines)

• Strong SQL and programming skills in Python or similar

• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks

• An understanding of data quality and governance, and how to build pipelines that scale without silently breaking

• A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau

Across all assignments:

• Comfortable working independently inside a client's existing tech stack and team

• Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders

• Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer

This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.

Cyber Instincts is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you!

Depending on the assignment, the work might involve:

• Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse

• Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers

• Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources

• Supporting analytics and BI teams with clean, reliable, well-modeled data

What you'll bring:

• At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment

• Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines)

• Strong SQL and programming skills in Python or similar

• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks

• An understanding of data quality and governance, and how to build pipelines that scale without silently breaking

• A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau

Across all assignments:

• Comfortable working independently inside a client's existing tech stack and team

• Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders

• Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer

This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.

Cyber Instincts is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you!

Depending on the assignment, the work might involve:

• Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse

• Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers

• Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources

• Supporting analytics and BI teams with clean, reliable, well-modeled data

What you'll bring:

• At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment

• Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines)

• Strong SQL and programming skills in Python or similar

• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks

• An understanding of data quality and governance, and how to build pipelines that scale without silently breaking

• A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau

Across all assignments:

• Comfortable working independently inside a client's existing tech stack and team

• Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders

• Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer

This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.

We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description We are now looking for a Junior Data Engineer in the Data Management AI & Analytics area on the behalf of our client.

What you will do:

• Identify data sets required per use case in collaboration with Source Teams and Business Analysts.

• Onboard data in the Enterprise Data Lake.

• Move and transform data from Data Lake to SQL DB or SQL DW as required per use case.

• Create reporting data models.

• Implement logic as per business requirements (e.g. KPI definitions etc).

• Collaborate with other IT delivery teams to create a complete solution around a use case.

• Life Cycle Management of delivered use cases.

• REQUIREMENTS:

  • Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps).

  • Experience with the Apache Spark Framework (preferably PySpark - Python).

  • Experience with PowerBi.

  • Experience in database and information modelling.

  • Experience with scripting languages such as Python and PowerShell (C# / .NET).

  Soft Skills and Behaviour:

  • Team player – will collect and share information with colleagues in order to improve our services.

  • Self-motivated and driven. Communicates and debates solutions to issues found. Proactively contacts colleagues or lead to work on problems or improvements.

  • Problem-solving mentality.

  • Stakeholder management skills.

  • Culturally aware and able to collaborate with people from other countries.

  • Service-minded.

• Start: ASAP

  End date: 2027-08-31

  Workplace: Lund, Sweden

  Workload: 40h/week

  BYOD/CAD: BYOD

• On-boarding info: A drug test needs to be performed before assignment starts. Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.

We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description We are now looking for a Junior Data Engineer in the Data Management AI & Analytics area on the behalf of our client.

What you will do:

• Identify data sets required per use case in collaboration with Source Teams and Business Analysts.

• Onboard data in the Enterprise Data Lake.

• Move and transform data from Data Lake to SQL DB or SQL DW as required per use case.

• Create reporting data models.

• Implement logic as per business requirements (e.g. KPI definitions etc).

• Collaborate with other IT delivery teams to create a complete solution around a use case.

• Life Cycle Management of delivered use cases.

• REQUIREMENTS:

  • Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps).

  • Experience with the Apache Spark Framework (preferably PySpark - Python).

  • Experience with PowerBi.

  • Experience in database and information modelling.

  • Experience with scripting languages such as Python and PowerShell (C# / .NET).

  Soft Skills and Behaviour:

  • Team player – will collect and share information with colleagues in order to improve our services.

  • Self-motivated and driven. Communicates and debates solutions to issues found. Proactively contacts colleagues or lead to work on problems or improvements.

  • Problem-solving mentality.

  • Stakeholder management skills.

  • Culturally aware and able to collaborate with people from other countries.

  • Service-minded.

• Start: ASAP

  End date: 2027-08-31

  Workplace: Lund, Sweden

  Workload: 40h/week

  BYOD/CAD: BYOD

• On-boarding info: A drug test needs to be performed before assignment starts. Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.

We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description We are now looking for a Junior Data Engineer in the Data Management AI & Analytics area on the behalf of our client.

What you will do:

• Identify data sets required per use case in collaboration with Source Teams and Business Analysts.

• Onboard data in the Enterprise Data Lake.

• Move and transform data from Data Lake to SQL DB or SQL DW as required per use case.

• Create reporting data models.

• Implement logic as per business requirements (e.g. KPI definitions etc).

• Collaborate with other IT delivery teams to create a complete solution around a use case.

• Life Cycle Management of delivered use cases.

• REQUIREMENTS:

  • Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps).

  • Experience with the Apache Spark Framework (preferably PySpark - Python).

  • Experience with PowerBi.

  • Experience in database and information modelling.

  • Experience with scripting languages such as Python and PowerShell (C# / .NET).

  Soft Skills and Behaviour:

  • Team player – will collect and share information with colleagues in order to improve our services.

  • Self-motivated and driven. Communicates and debates solutions to issues found. Proactively contacts colleagues or lead to work on problems or improvements.

  • Problem-solving mentality.

  • Stakeholder management skills.

  • Culturally aware and able to collaborate with people from other countries.

  • Service-minded.

• Start: ASAP

  End date: 2027-08-31

  Workplace: Lund, Sweden

  Workload: 40h/week

  BYOD/CAD: BYOD

• On-boarding info: A drug test needs to be performed before assignment starts. Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.

We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description We are now looking for a Junior Data Engineer in the Data Management AI & Analytics area on the behalf of our client.

What you will do:

• Identify data sets required per use case in collaboration with Source Teams and Business Analysts.

• Onboard data in the Enterprise Data Lake.

• Move and transform data from Data Lake to SQL DB or SQL DW as required per use case.

• Create reporting data models.

• Implement logic as per business requirements (e.g. KPI definitions etc).

• Collaborate with other IT delivery teams to create a complete solution around a use case.

• Life Cycle Management of delivered use cases.

• REQUIREMENTS:

  • Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps).

  • Experience with the Apache Spark Framework (preferably PySpark - Python).

  • Experience with PowerBi.

  • Experience in database and information modelling.

  • Experience with scripting languages such as Python and PowerShell (C# / .NET).

  Soft Skills and Behaviour:

  • Team player – will collect and share information with colleagues in order to improve our services.

  • Self-motivated and driven. Communicates and debates solutions to issues found. Proactively contacts colleagues or lead to work on problems or improvements.

  • Problem-solving mentality.

  • Stakeholder management skills.

  • Culturally aware and able to collaborate with people from other countries.

  • Service-minded.

• Start: ASAP

  End date: 2027-08-31

  Workplace: Lund, Sweden

  Workload: 40h/week

  BYOD/CAD: BYOD

• On-boarding info: A drug test needs to be performed before assignment starts. Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs.

We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description We are now looking for a Junior Data Engineer in the Data Management AI & Analytics area on the behalf of our client.

What you will do:

• Identify data sets required per use case in collaboration with Source Teams and Business Analysts.

• Onboard data in the Enterprise Data Lake.

• Move and transform data from Data Lake to SQL DB or SQL DW as required per use case.

• Create reporting data models.

• Implement logic as per business requirements (e.g. KPI definitions etc).

• Collaborate with other IT delivery teams to create a complete solution around a use case.

• Life Cycle Management of delivered use cases.

• REQUIREMENTS:

  • Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps).

  • Experience with the Apache Spark Framework (preferably PySpark - Python).

  • Experience with PowerBi.

  • Experience in database and information modelling.

  • Experience with scripting languages such as Python and PowerShell (C# / .NET).

  Soft Skills and Behaviour:

  • Team player – will collect and share information with colleagues in order to improve our services.

  • Self-motivated and driven. Communicates and debates solutions to issues found. Proactively contacts colleagues or lead to work on problems or improvements.

  • Problem-solving mentality.

  • Stakeholder management skills.

  • Culturally aware and able to collaborate with people from other countries.

  • Service-minded.

• Start: ASAP

  End date: 2027-08-31

  Workplace: Lund, Sweden

  Workload: 40h/week

  BYOD/CAD: BYOD

• On-boarding info: A drug test needs to be performed before assignment starts. Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.