Senior Data Engineer: Azure Databricks Lakehouse Architect

Sii Poland

Warszawa

On-site

PLN 150,000 - 220,000

Full time

6 hours ago
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Benefits offered by this job

Great Place to Work
Profit sharing
Centre of internal trainings
Medical care
Open and accessible management team

Job summary

Sii is seeking an experienced Data Engineer to join our data engineering team in a fast-growing environment where data is the main product. You will build and maintain robust data pipelines on the Azure platform using Databricks, collaborating with engineers, data analysts, and product owners to deliver trusted datasets to clients.

You will design advanced pipelines, create scalable lakehouse architectures, and define standards for data engineering while mentoring teammates and ensuring secure,

Qualifications

  • Minimum 8 years of experience in data engineering.
  • Strong knowledge of Apache Spark, Databricks, Snowflake, dbt, and Python.
  • Experience with Delta Lake, Apache Iceberg, HDFS or related data storage technologies.
  • Ability to lead complex data engineering projects and collaborate with business stakeholders.
  • Experience in technical leadership and mentoring team members.
  • Very good command of English - C1 level.
  • Willingness to visit the office in Krakow - 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 Data Engineering.
  • Collaborating with Data Analytics, Data Science, and Product teams to deliver solutions.
  • Mentoring less experienced engineers and providing technical support to the team.
  • Optimizing performance, reliability, security, and cost of the data platform.

Skills

Apache Spark
Databricks
Snowflake
dbt
Python
Delta Lake
Apache Iceberg
HDFS
Data engineering

Tools

Azure Databricks
Delta Lake
Apache Iceberg
HDFS

Job description

Sii is seeking an experienced Data Engineer to join our data engineering team in a fast-growing environment where data is the main product. You will build and maintain robust data pipelines on the Azure platform using Databricks, collaborating with engineers, data analysts, and product owners to deliver trusted datasets to clients.

You will design advanced pipelines, create scalable lakehouse architectures, and define standards for data engineering while mentoring teammates and ensuring secure,

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