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Senior Data Engineer

microampsolutions · Warsaw, Mazowieckie, Poland

Open. First seen 5 October 2026.

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Description

About Us:
At Microamp Solutions, we’re pioneering the future of wireless communication with cutting-edge 5G mmWave Radio Units. We are a fast-growing team passionate about telecom innovation—and we’re looking for someone just as driven to join us in building, deploying, and supporting the next generation of radio access technology.

Your role:

We are looking for a highly experienced Senior Data Engineer / Technical Lead to take ownership of the architecture, design, and technical direction of a modern enterprise data platform built on Azure Databricks. This role will serve as the technical right-hand to the engineering leadership team, providing technical guidance to a team of approximately six engineers while driving key architectural decisions across the platform.

The successful candidate will play a critical role during the early stages of the program, leading the design of the central data model and data products, establishing architectural standards, and ensuring alignment across business and technical stakeholders.

Responsibilities :

  • Own the technical architecture, design, and implementation approach for the enterprise data platform.
  • Define and drive the overall Azure Databricks strategy, architecture, and engineering standards.
  • Translate business and product requirements into scalable, maintainable, and high-performing technical solutions.
  • Lead technical decision-making and provide architectural guidance across the engineering team.
  • Mentor and coach data engineers, promoting engineering excellence and best practices.
  • Design and establish the central data model and data product framework for the platform.
  • Create solution designs, architecture blueprints, and technical documentation.
  • Present and defend architectural decisions to business stakeholders, architects, and senior leadership.
  • Define development standards, governance frameworks, and engineering best practices.
  • Extensive hands-on experience with Azure Databricks in enterprise-scale environments.
  • Deep expertise in Lakehouse architecture and Medallion Architecture (Bronze, Silver, Gold).
  • Strong experience designing and implementing enterprise data platforms.
  • Proven track record in data modeling, semantic modeling, and data product design.
  • Expert knowledge of Apache Spark, PySpark, Python, and SQL.
  • Strong understanding of distributed data processing and modern data architecture patterns.
  • Experience designing scalable, cloud-native analytics and data platforms.
  • Ability to balance architectural vision with hands-on engineering delivery.
  • Strong communication and stakeholder management skills.
  • Experience presenting technical solutions to both technical and non-technical audiences.

JOB BENEFITS

  • Full-time employment contract
  • Private healthcare and sports package
  • The opportunity to develop and gain experience in an innovative startup environment
  • Working in a friendly, multinational environment

Salary context

96 other open postings titled Senior Data Engineer state a salary: median USD 155,000 to USD 200,000 a year.

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