remote Milan Rome

intermediate

data governance

Description of activities:

We are seeking mid-level Data Engineers to strengthen our Data & Analytics team.
These candidates will be involved in designing, building, and optimizing data pipelines on the Azure platform, with a particular focus on Databricks and expertise in Azure Synapse Analytics.

Ideal candidates have experience transforming business needs into scalable and reliable data engineering solutions.

Responsibility:

- Design, develop, and maintain data ingestion, transformation, and orchestration pipelines on Databricks and Azure Synapse Analytics

- Manage complex ELT/ETL processes, ensuring quality, reliability, and performance.

- Develop code in Python / PySpark / SQL for highly scalable data processing

- Implement optimized data models (Delta Lake, Parquet, medallion architecture)

- Collaborate with data analysts, data scientists, and project stakeholders to define requirements and solutions.

- Monitor pipelines through logging, alerting, and performance tuning systems.

- Ensure security, compliance, and data governance throughout the data lifecycle.

- Support the evolution of data architecture by contributing to best practices and technical standards.

Technical Skills:

- Excellent knowledge of Databricks (PySpark, notebooks, job clusters, Delta Lake).

- Experience with Azure Synapse Analytics (Dedicated / Serverless SQL Pools, pipelines).

- Excellent skills in Python, PySpark and SQL.

- Knowledge of Azure services:

or Azure Data Lake Storage (ADLS Gen2)

or Azure Data Factory / Synapse Pipelines

or Azure Key Vault

or Azure Monitor / Log Analytics

- Familiarity with lakehouse architecture concepts, data modeling, and columnar formats.

- Experience with Git, DevOps and CI/CD processes

- Additional skills appreciated:

o Familiarity with cloud environments (AWS, Azure, or GCP).

o Knowledge of Databricks Unity Catalog.

o Knowledge of PowerBI or BI tools.

or Azure Certifications (DP-203 or similar).

Soft Skills:





- Excellent analytical skills and attention to detail.

- Ability to work in a team and manage projects independently.

- Problem-solving orientation and proactivity.

- Excellent communication and interpersonal skills.

Project data:

MUST HAVE: Proven experience with Databricks and knowledge of Azure Synapse Analytics

NICE TO HAVE: Experience with PowerBI or other similar tools.

- Project in Milan or Genoa, at least once a week.

- Academic background:

- Graduated

- Master's Degree in Computer Science or Mathematics or Physics

– Language skills : Italian and English, minimum level B1/B2

Certifications and specializations: (master's degrees, courses, etc.)

Nice to HAVE: Certificazione Databricks.

Modalità di lavoro: (sede/full remote/cliente/mix)

Ibrido/Cliente

NOTE: Necessaria presenza da cliente 1 volta a settimana (Milano o Genova)

Orario di Lavoro: Full Time

Note Aggiuntive: (automunito, patente, disponibilità a trasferte con indicazione del raggio di spostamento)

Disponibilità a trasferta nel territorio nazionale

Cosa Offriamo: (RAL, pacchetto retributivo, vantaggi/flexible benefit)

RAL: 36k-40k (in relazione alle competenze dimostrate)

Informazioni sul Contesto Interno:

K2 DataSyn è specializzata in soluzioni di data management e data governance, utilizzando tecnologie leader di mercato. Si tratta di un ambiente giovane, dinamico e fortemente collaborativo, che promuove l’innovazione e la crescita professionale dei propri membri. I servizi offerti spaziano dalla consulenza tecnica e tecnologica, alla formazione tecnica rivolta ai clienti finali, fino alla consulenza strategica e funzionale in progetti di data governance e data management. Il ruolo offre l’opportunità di ampliare le proprie competenze tecniche su altre tecnologie di data management, data governance e piattaforme cloud come Google e AWS, favorendo quindi un percorso di crescita continua e approfondimento specialistico.

Ai sensi della normativa vigente offerta di lavoro si intende estesa ad entrambi i sessi. (L 903/77). I tuoi dati personali saranno trattati solo per finalità di ricerca, selezione e valutazione del personale.

📌 Data Engineer Databricks (Italia)
🏢 Key2
📍 Italia