Data Integration Engineer (Databricks / Python / SQL)

Gramian Consulting Group · posted Oct 30, 2026

Open to candidates in Austria, Belgium and 25 more

Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden

Contract · Mid-level

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What this job asks for

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Must have

•Databricks (Delta Lake, Unity Catalog)
•Python / PySpark
•Advanced SQL
•SQL Server & legacy database integration
•API, batch, file, SFTP integrations
•Data modeling & data contracts
•Data quality & integration testing

Tools and technologies

Databricks, Python, PySpark, SQL, Delta Lake, Unity Catalog, SQL Server, REST APIs, SFTP

Languages required

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About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their are building a production-grade AI-assisted KYC / Customer Due Diligence platform for an international insurance environment.

We are looking for an experienced Data / Integration Engineer to own the data flowing into and out of the platform. The role focuses on Databricks, Python / PySpark, SQL, data modelling, data contracts, APIs, legacy-system integration, and data quality , replacing mocked sources with reliable production integrations.

CONTRACT: B2B or B2C contract

COMMITMENT: Full-time, 3-4 months contract with possibility of extension or getting on new projects

LOCATIONS: Remote, EU-based candidates

START: ASAP

PROCESS: Initial qualification followed by client interviews

Responsibilities

Inventory and map all internal and external data sources.
Define data contracts and canonical data structures for client, screening, evidence, audit, and reporting data.
Build connectors to external screening providers, public registers, and local data sources.
Connect Databricks with SQL Server, legacy databases, and core enterprise systems.
Support API, database-link, batch, file, and SFTP-based integrations.
Design and maintain data models supporting evidence, audit trails, and reporting.
Implement data quality checks, contract tests, and retention rules .
Validate incoming and outgoing data flows across production services.
Support integration troubleshooting and production-readiness activities.
Contribute to a business-critical platform where data accuracy and reliability are essential.

Requirements

Strong hands-on experience with Databricks , including Delta Lake and Unity Catalog.
Strong experience with Python / PySpark .
Advanced SQL skills.
Experience integrating with SQL Server and legacy databases .
Strong experience with REST APIs, DB links, batch processing, files, and SFTP integrations .
Experience with data modelling and data-contract design .
Experience implementing data-quality validation and integration testing.
Fluent English and ability to work remotely within the EU.