Senior Big Data Engineer

Databricks Migration – FREELANCE / VAT-registered contractor / Piva (Full remote)

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For one of our major global clients in the digital solutions development sector, we are looking for:

Databricks Migration FREELANCE

Full remote – occasional travel to Florence (Italy) may be required for major brainstorming sessions

Start Date: ASAP

Until December 2026

Full time

English speaker / native / bilingual

Main responsibilities

The candidate will be part of a Data team and will be responsible for Databricks migration.

Technical Skills:

Databricks: Deep hands-on experience and technical fluency with

Databricks including:

• setting up & configuring Databricks workspaces

• creating metastores, schemas, catalogs with Unity Catalog

• creating RBAC, configuring scalable roles, groups and policies

• building pipelines & workflows using PySpark

Delta Lake and Unity Catalog (beyond Notebooks)

• choosing the right clusters, configurations, run-times for the right

workloads

• performance tuning complex pipelines and optimizing the

workflows

Advanced SQL & Data Modeling: Expert-level SQL skills (optimization,

indexing) and a mastery of data modeling techniques (Dimensional, Star

Schema, Snowflake) and ability to translate them into modern Big Data

SQL / Databricks SQL.

Cloud & Modern Data Stack: Proficiency in working with AWS , Airflow

and dbt.

Database Diversity: Proven experience in handling and working

efficiently across various RDBMS platforms (PostgreSQL, SQL Server,

Oracle, MySQL).

Non-Technical skills:

Effective Communicator: Possesses the ability to translate complex

technical concepts into clear business value for non-technical

stakeholders and aligns effectively with all involved parties proactively.

Strategic Thinker: Not just executes; but self-leads projects from

ideation to actionable solution, balancing technical debt with rapid

delivery.

Problem Solver: Thrives in fast-paced, ambiguous environments, finds

solutions for problems proactively, proposes options and aligns with

teams, pays meticulous attention to detail

SECONDARY:

DevOps & Engineering: Strong command of Docker/Kubernetes and

well versed in implementing and releasing production artefacts with

CI/CD best practices (preferably with Gitlab). xdwybme

Governance: Experience with data versioning, schema evolution, and

distributed metadata management.