Data Engineer: Cloud Data Platforms & Pipelines
Cyber Instincts ABSammanfattning
Cyber Instincts, a technology consultancy based in Gothenburg, is seeking data engineers to support client engagements in data engineering, focusing on cloud data platforms and pipeline development on Azure and/or AWS. The role involves designing ETL/ELT pipelines, building data platforms, and integrating data across various systems. This position requires hands-on experience and offers opportunities to work independently with clients across Sweden.Jobbet i korthet
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Work independently within client tech stacks and teams.Opportunity to communicate and collaborate with both technical and non-technical stakeholders.Certifications such as Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer are a plus.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-08-12
Beskrivning
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.
Department Software Engineers Locations Consultants Göteborg, Consultants Malmö, Consultants Stockholm
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.
Department Software Engineers Locations Consultants Göteborg, Consultants Malmö, Consultants Stockholm
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Data Engineer: Cloud Data Platforms & Pipelines
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