Senior Data Engineer - Azure Databricks & Lakehouse Lead

Sii Poland; Wrocław; On-site; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Many experts you can learn from

Open and accessible management team

Regular integration events and trips

MySii app

Contracts with the biggest brands

Centre of internal trainings

Comfortable and well-equipped offices

Job summary

Sii Poland is seeking an experienced Data Engineer to join our data engineering team in a rapid-growth environment where data is the main product. You will build and maintain robust, secure data pipelines on the Azure platform using Databricks, and help define the data model that delivers trusted datasets to our clients.

You will collaborate with engineers, data analysts and product owners to deliver end-to-end solutions—from data acquisition to delivery to the end client.

Qualifications

• Minimum 8 years of experience in data engineering.
• Strong knowledge of Spark, Databricks, Snowflake, dbt, and Python.
• Experience with Delta Lake, Iceberg, or HDFS storage solutions.
• Ability to lead complex data projects and collaborate with business stakeholders.
• Experience in technical leadership and mentoring teammates.
• Very good command of English - C1 level.
• Willingness to visit the Krakow office - once a month.

Responsibilities

• Designing and developing advanced data pipelines in the Azure Databricks environment.
• Creating scalable data architecture using lakehouse technologies.
• Defining standards and best practices in the area of Data Engineering.
• Collaborating with Data Analytics, Data Science, and Product teams to deliver comprehensive solutions.
• Mentoring less experienced engineers and providing technical support to the team.
• Optimizing performance, reliability, security, and cost of the data platform.

Skills

Leadership

Mentoring

English (C1)

Tools

Apache Spark

Databricks

Snowflake

dbt

Python

Job description

Sii Poland is seeking an experienced Data Engineer to join our data engineering team in a rapid-growth environment where data is the main product. You will build and maintain robust, secure data pipelines on the Azure platform using Databricks, and help define the data model that delivers trusted datasets to our clients.

You will collaborate with engineers, data analysts and product owners to deliver end-to-end solutions—from data acquisition to delivery to the end client.