Data Engineer - Databricks & Cloud Data Platform (Remote)

PARETO SECURITIES AS; Denmark; Hybrid; DKK 242,000 - 346,000; Full time

Benefits offered by this job

Mental health support

Free lunch at the office

Referral bonus up to PLN 10,000

Benefit platform PLN 600 monthly

Passion clubs and social events

Job summary

BEC is building a Data Product Center to modernize data solutions for Danish and Polish banking ecosystems. The role focuses on designing, delivering, and operating scalable data products and platforms across Azure, AWS, and Databricks, involving cross-functional collaboration and governance.

Join a data-driven environment with emphasis on data quality, regulatory compliance, and agile practices to serve millions of banking customers.

Qualifications

• At least two years of experience as a data engineer or in a similar data-focused role.
• Hands-on experience with Databricks and Apache Spark, including PySpark.
• Strong Python and SQL skills, including performance optimization and troubleshooting.
• Experience designing and building data pipelines and integrating data from sources such as APIs, Kafka, SFTP, databases, and batch-processing solutions.
• A solid understanding of data modelling, data warehousing, and modern data architectures.
• Experience with cloud-based data platforms, preferably across Azure and AWS.

Responsibilities

• Modernize existing data solutions by transitioning from the legacy Netezza-based data warehouse to Azure, AWS, and Databricks platform.
• Design, build, and maintain scalable end-to-end data-processing solutions covering acquisition, transformation, integration, quality assurance, and data exposure.
• Develop reusable frameworks, standards, and platform capabilities that accelerate data-product delivery across the organization.
• Define and implement data products, including their purpose, scope, interfaces, and intended business use.
• Collaborate with architects, data engineers, software engineers, QA engineers, business analysts, data-governance specialists, and banking stakeholders to deliver reliable, well-governed solutions.
• Promote data-product principles, best practices, and adoption of the Data Modernization platform while supporting refinement, implementation, testing, onboarding, and operational readiness.
• Support platform stability through monitoring, maintenance, operational support, and continuous improvement, while following BEC's delivery processes, data-governance standards, regulatory requirements, and agile ways of working.

Skills

Python

SQL

Data pipelines

Cloud computing

Tools

Databricks

Apache Spark

PySpark

Job description

BEC is building a Data Product Center to modernize data solutions for Danish and Polish banking ecosystems. The role focuses on designing, delivering, and operating scalable data products and platforms across Azure, AWS, and Databricks, involving cross-functional collaboration and governance.

Join a data-driven environment with emphasis on data quality, regulatory compliance, and agile practices to serve millions of banking customers.