Data Engineer: Cloud Data Platforms & Pipelines

Publiceringsdatum: 2026-08-17

Letar du efter anställning inom yrken med teknisk inriktning? Vill du ta steget att arbeta som dataingenjör hos Cyber Instincts AB? Nu har du möjligheten. Att bo i närheten av Göteborg kan vara en fördel för denna position, så om du redan bor i området bör du överväga att söka jobbet.

Cyber Instincts AB söker för närvarande efter ambitiösa individer som vill utvecklas i rollen som dataingenjör. Kolla in deras ledig tjänst och se om du har vad som krävs för att bli en del av deras team. Bli en del av Cyber Instincts AB genom att ansöka till jobbet som dataingenjör senast lördag den trettonde februari 2027.

---

Jobbannons

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.