Data Engineer

Digitalenta; Malmö kommun; On-site; SEK 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare allowance

Insurance policy

Paid vacation days

Pension savings

Consultant manager

Networking activities

Job summary

Digitalenta is seeking a senior data engineer to design, build and maintain automated, scalable data solutions for performance evaluation products used by customer meeting points and franchisees. You will connect data from multiple sources into a unified framework, ensuring accuracy and auditability across the analytics ecosystem.

You will work with Databricks, Spark and Delta Lake in lakehouse architectures on Azure Data Lake Storage, applying DevOps practices, CI/CD, testing and IaC to deliver

Qualifications

• Senior data engineer with end-to-end pipeline design and implementation.
• Hands-on with Databricks and Spark in lakehouse environments.
• Strong knowledge of Azure Data Lake Storage and DevOps practices.
• Experience with data governance, validation and auditing.

Responsibilities

• Design, build and maintain automated, scalable data solutions for performance evaluation products.
• Create the data foundation that enables reporting, analytics, governance and future scalability.
• Connect data from multiple sources into a unified framework for evaluation across multiple criteria.
• Ensure accuracy, data validation, version control and auditability.

Skills

Databricks

Apache Spark

Delta Lake

Lakehouse architecture

Data modelling

Azure Data Lake Storage

End-to-end data pipelines

Git

CI/CD pipelines

Infrastructure as code

Tools

Git

CI/CD

Automated testing

Infrastructure as code

Azure Data Lake Storage

Job description

We are looking for a senior Data Engineer on behalf of our client, a global leader in the home furnishing retail industry. They are establishing digital products that provide performance insights for customer meeting points and franchisees. The products consolidate data from multiple business systems into trusted, scalable and automated data products that support performance management, business decision-making, continuous improvement and strategic planning.

About the assignment

As data engineer in the team, you design, build and maintain automated, scalable data solutions for two performance evaluation products, one for customer meeting points and one for franchisees, stretching across all of the client's franchisees. The goal is to transform today's manual, fragmented reporting into a reliable and centralized analytics ecosystem, giving leadership and management teams consistent, trustworthy metrics for trend analysis and continuous improvement.

Responsibilities

• Design, build and maintain automated, scalable data solutions for the performance evaluation products
• Create the data foundation that enables reporting, analytics, governance and future scalability
• Connect data from multiple sources into a unified performance evaluation framework covering multiple criteria
• Ensure accuracy, data validation, version control and auditability

We are looking for you who

Are a senior data engineer with:

• 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
• Solid experience with DevOps practices, including source control (e.g. Git), CI/CD pipelines, automated testing, environment promotion and infrastructure as code for data platfor

How you work

• Comfortable working in the early phases of solution design and contributing throughout the full data engineering lifecycle: ideation, high 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
• Focused on building clean, scalable, resilient and cost-efficient data solutions using cloud native architectures and modern data platforms, with maintainability and reusability in mind
• Strong communication skills, with the ability to clearly explain data architectures, pipelines and trade-offs to non-technical stakeholders
• Start: 2026-11-01
• End: 2027-11-01, with possibility of extension

About the assignment

For this assignment you will be hired as a full-time consultant by Digitalenta.

We offer our consultants a generous package including.

• healthcare allowance
• insurance policy
• paid vacation days
• pension savings

In addition, you’ll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.