Data Engineer

LanceSoft Europe; Stockholms kommun; On-site; SEK 800,000 - 1,100,000; Full time

Job summary

LanceSoft Europe is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines on Azure, delivering end-to-end data solutions for complex enterprise environments.

You will collaborate with business analysts, engineers, and stakeholders to define data products, ensure data quality, and implement CI/CD practices while adhering to governance standards and security requirements.

Qualifications

• Experience in Data Engineering with Azure technologies.
• Experience delivering end-to-end data solutions in enterprise environments.
• Exposure to Data Products and modern data platform implementations.

Responsibilities

• Design, develop, and maintain scalable data pipelines and cloud-native data solutions on Azure.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and delivery.
• Implement data governance, security, and lineage using Unity Catalog.
• Collaborate with business stakeholders, analysts, and engineering teams to deliver data products.
• Support CI/CD implementation, code deployment, and DevOps best practices.
• Ensure data quality, performance optimization, and adherence to engineering standards.

Skills

Python

SQL

PySpark

Pandas

NumPy

Tools

Azure

Unity Catalog

CI/CD

Git

Job description

• Design, develop, and maintain scalable data pipelines and cloud-native data solutions on Azure.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and delivery.
• Implement data governance, security, and lineage using Unity Catalog.
• Collaborate with business stakeholders, analysts, and engineering teams to deliver data products.
• Support CI/CD implementation, code deployment, and DevOps best practices.
• Ensure data quality, performance optimization, and adherence to engineering standards.

Required Experience

• Experience in Data Engineering with Azure technologies.
• Experience delivering end-to-end data solutions in enterprise environments.
• Exposure to Data Products and modern data platform implementations.

Technical Skills

• Programming: Advanced Python (PySpark, Pandas, NumPy) and SQL.
• Data Architecture: Cloud-native solution design, data governance, and large-scale data processing.

Soft Skills

• Strong communication and presentation skills across technical and business audiences.
• Ability to work effectively with cross-functional and distributed teams.
• Excellent analytical, problem-solving, and decision-making capabilities.
• Self-motivated, adaptable, and capable of working independently with minimal supervision.

Preferred Qualifications

• Experience in Banking and Financial Services.
• Knowledge of data governance and enterprise data management frameworks.
• Understanding of Agile delivery methodologies and DataOps practices.