Senior Data Engineer (Cloud Lakehouse)

FDJ UNITED; Stockholms kommun; Hybrid; SEK 1,100,000 - 1,400,000; Full time

Job summary

FDJ UNITED is seeking a Senior Data Engineer to design and build innovative data solutions in a fast-paced agile team. You will modernize the data platform, enabling reporting, analytics, and data-driven decision making across the organization.

You will transform cloud data landscapes, work with lakehouse architectures, and leverage automation and generative AI to boost self-service capabilities and operational efficiency.

Qualifications

• 5+ years of experience in data engineering with scalable modern data architectures.
• Experience building data lake / lakehouse architectures in cloud environments.
• Strong knowledge of AWS S3/Redshift or Azure data services.
• Experience with ETL/ELT processes and data ingestion.
• Proven expertise using transformation tools such as dbt.
• Experience with data pipeline orchestration tools like Apache Airflow.
• Experience with CI/CD and testing best practices.

Responsibilities

• Develop and maintain data solutions including transformation, modelling, and reporting in on‑prem and cloud environments.
• Build modern data lake / lakehouse architectures to support scalable processing.
• Enhance platform integration using domain events for real‑time data processing.
• Champion generative AI features to deliver intuitive analytics experiences.
• Deliver insights with a focus on performance, scalability, and data accessibility.
• Automate ETL/ELT, implement CI/CD pipelines, and optimize data flows.
• Collaborate with cross‑functional teams and document requirements as GAPs.
• Support data governance, data quality, and compliance across the organization.
• Maintain data products with release management and on‑call support.

Skills

Data lake / lakehouse

Apache Iceberg

AWS S3 / Redshift

Azure data services

ETL / ELT

dbt

Apache Airflow

CI / CD

Testing

Open Metadata

Generative AI

Power BI

Amazon QuickSight

Java

Tools

Apache Iceberg

dbt

Airflow

Open Metadata

Job description

As a Senior Data Engineer, you will be at the forefront of designing and building innovative data solutions within a fast-paced agile data engineering team. You will play a crucial role in modernizing our data platform to enhance product offerings, closely collaborating with stakeholders across the organization to maximize the value of data for reporting, analytics, and decision-making processes.

In this role, you'll help transform our cloud data landscape, working with streaming technologies, cloud data warehouses, and Lakehouse architectures to unlock new insights and capabilities for our business units. Additionally, you will leverage automation and generative AI to increase operational efficiency and enhance self-service capabilities across the organization.

Key Responsibilities

• Develop and maintain robust and efficient data solutions and products including data transformation, data modelling, and reporting on both on-premises and cloud environments
• Build modern data lake/lakehouse architectures that support scalable, flexible data processing
• Enhance platform integration by leveraging domain events to enable more efficient and real-time data processing

Self-Service Analytics & Enablement

• Champion the adoption of generative AI features such as Amazon Q and Copilot to deliver intuitive analytics experiences
• Build sophisticated solutions to deliver actionable insights, with a strong focus on performance, scalability, and data accessibility

Engineering Excellence & Automation

• Enhance data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to improve efficiency and maintainability
• Be a champion of best development practices on existing and new technologies
• Collaborate with cross-functional teams to translate business requirements into technical solutions, documenting them as GAPs and aligning them with Architects

Data Governance & Discovery

• Facilitate data discovery and enhance data management processes using platforms like Open Metadata
• Ensure KPIs and documentation remain accurate and up to date
• Support data quality and compliance standards across the organization

Innovation & Operations

• Initiate and experiment with new ideas and approaches that support the A&I department's strategy
• Proactively support and maintain data products, including handling release management, troubleshooting incidents, and providing on-call support as necessary

Skills, Knowledge & Experience

Required

• 5+ years of experience in data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures
• Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments
• Strong knowledge of AWS (S3, Redshift) or Azure data services
• Experience with ETL/ELT processes and data ingestion
• Proven expertise using transformation tools such as dbt
• Experience with data pipeline orchestration tools (such as Apache Airflow)
• Experience with best practices applied to data (e.g., testing, CI/CD)

Advantageous

• Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight
• Experience with generative AI applications in data analytics
• Nice to have some JAVA experience