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.
- 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: Databricks Certification.
Work modes: (office/full remote/client/mix)
Hybrid/Customer
NOTE : Customer presence required once a week (Milan or Genoa)
Working Hours : Full Time
Additional Notes: (own car, driving licence, willingness to travel with indication of travel radius)
Availability to travel within the national territory
What We Offer: (salary, remuneration package, benefits/flexible benefits)
RAL: 36k-40k (depending on demonstrated skills)
Information on the Internal Context:
K2 DataSyn specializes in data management and data governance solutions, using market-leading technologies. It is a young, dynamic, and highly collaborative environment that fosters innovation and the professional growth of its members. The services offered range from technical and technological consulting, to technical training for end customers, to strategic and functional consulting for data governance and data management projects. The role offers the opportunity to expand technical skills across other data management and data governance technologies and cloud platforms such as Google and AWS, thus fostering continuous growth and specialized training.
Pursuant to current legislation, this job offer is intended to be open to both genders (Law 903/77). Your personal data will be processed solely for personnel search, selection, and evaluation purposes.
