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Data Engineer

MalmöOn-site

AI Summary

Data Engineer consultant designing and implementing end-to-end data pipelines and cloud-native data platforms, contributing across the full data engineering lifecycle from architecture to operational follow-up.

About this role

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.

As part of your application, you may be presented to clients/partners as part of the recruitment process. If selected for the assignment, you will be employed by us and work either with clients or on internal projects and assignments as part of our consulting business.


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!


Skills

Apache SparkAzure Data Lake StorageBatch And Streaming PipelinesCI/CDDatabricksData ModellingData ValidationDelta LakeDevOpsGitInfrastructure-as-codeLakehouse ArchitectureMicrosoft AzurePerformance Optimization

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