Data Engineer

Deploja-Ab; Malmö kommun; On-site; SEK 650,000 - 950,000; Full time

Job summary

Deploja-Ab is seeking a data engineering consultant to work across the full data lifecycle, from ideation to deployment. You will design scalable, cost-efficient data platforms using cloud-native architectures and lakehouse concepts.

The role emphasizes hands-on Databricks/Spark, Delta Lake, and Azure Data Lake Storage, with focus on maintainability and collaboration with non-technical stakeholders.

Qualifications

• Must be comfortable in early design phases and across the data engineering lifecycle.

Responsibilities

• Design and implement end-to-end data pipelines (batch and streaming) including ingestion, transformation, and serving layers.

Skills

Data pipelines

Cloud architecture

Data validation

Performance tuning

Troubleshooting

End-to-end design

Communication

Automation & DevOps

Stakeholder communication

Tools

Databricks

Apache Spark

Delta Lake

Azure Data Lake Storage

Git

CI/CD

Infrastructure as Code

Job description

We now have a new requirement and are looking for a consultant colleague with the qualifications listed below. The position is part of our consulting business, which means you will be employed by us and work either with clients or on internal projects and assignments.

Your Profile (Must-have requirements)

• Comfortable working in the early phases of solution design and contributing throughout the full data‑engineering lifecycle, including ideation, high‑level and low‑level architecture, requirements specification, functional and technical design, estimation, sprint planning, development, testing, documentation, deployment, and operational follow‑up.
• Strong understanding of data engineering guidelines, release processes, and quality expectations, including data validation, performance optimization, monitoring, and troubleshooting in production environments.
• Passionate about building clean, scalable, resilient, and cost‑efficient data solutions using cloud‑native architectures and modern data platforms, with a strong focus on maintainability and reusability.
• Proven experience designing and implementing end‑to‑end data pipelines (batch and streaming), including ingestion, transformation, and serving layers, using best practices in data modelling and lakehouse architecture.
• Hands‑on expertise with Databricks, including Apache Spark, Delta Lake, job orchestration, performance tuning, and environment management.
• Strong knowledge of Microsoft Azure, particularly services commonly used in data platforms such as Azure Data Lake Storage ,etc
• Solid experience with DevOps practices, including source control (e.g., Git), CI/CD pipelines, automated testing, environment promotion, and infrastructure‑as‑code for data platforms.
• Strong communication skills, with the ability to clearly explain data architectures, pipelines, and trade‑offs to non‑technical stakeholders.

Application deadline: 14-10-2026

About Us

We currently employ experienced consultants in areas such as System Development, AI, Machine Learning, Testing, Cloud, Infra DevOps, and IT Project Management.

Working at Deploja is something entirely different from working at an ordinary consulting company—and we are really proud of that. So, what makes us unique?

We simply offer more than just a high salary and greater freedom; that’s just the beginning. With us, you’ll find the work environment and opportunities you deserve. Welcome to Deploja, where the grass is indeed greener!