Senior Data Engineer

Intellias; Poland; On-site; PLN 240,000 - 360,000; Full time

Job summary

Intellias is hiring a Senior Data Engineer to join a delivery team for a large enterprise data platform migration in the financial sector. You will own architectural decisions, write production code weekly, and mentor a mid-level engineer on the journey to AI-enabled data pipelines.

You will work on Databricks, Delta Lake, Unity Catalog and lakehouse patterns, integrating with Azure DevOps or GitHub Actions for CI/CD and ensuring robust data quality and governance across domains.

Qualifications

• 6+ years of data engineering experience, with at least the last three years on Databricks in production.
• Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles.
• Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon.
• Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns.
• Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control.
• CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent).
• Fluent working English.

Responsibilities

• Deliver end-to-end data domains on Azure Databricks.
• Design and build medallion pipelines (Bronze/Silver/Gold) using Lakeflow and Delta Lake.
• Register curated data products in Unity Catalog with proper tags, masks and lineage.
• Implement data quality gates and refine rules with domain stewards.
• Package and deploy work via Databricks Asset Bundles through CI/CD pipelines.
• Write automated tests and documentation.
• Collaborate across teams and mentor a mid-level engineer.

Skills

Databricks

Python

PySpark

SQL

Delta Lake

Unity Catalog

Lakeflow Declarative Pipelines

Streaming

CI/CD

Terraform

Azure DevOps

GitHub Actions

Databricks Asset Bundles

Auto Loader

Tools

Databricks

Unity Catalog

Delta Lake

Lakeflow Declarative Pipelines

Auto Loader

Structured Streaming

Databricks Asset Bundles

Terraform

Azure DevOps

GitHub Actions

Job description

We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer.

What project we have for you

Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.

As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.

What you will do

• Perform the end-to-end delivery of one or more priority data domains on Azure Databricks.
• Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering.
• Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies.
• Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards.
• Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD
• Write automated tests and documentation.
• Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy.

What you need for this

• 6+ years of data engineering experience, with at least the last three years on Databricks in production.
• Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles.
• Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon.
• Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns.
• Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control.
• CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent).
• Fluent working English.

Nice to have

• Active Databricks certifications
• Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers
• CDMP DAMA certification or equivalent data governance credential.
• Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers.

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.