Senior Data Engineer (f/m/x)

Sii Poland

Katowice

On-site

PLN 180,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Great Place to Work
Centre of internal trainings
Profit sharing
Many experts you can learn from
MySii app
Medical care

Job summary

Sii Poland is seeking an experienced Data Engineer to join our data engineering team in Katowice, Poland. You will build and maintain robust data pipelines on Azure Databricks, helping define trusted data models for clients and collaborating with analytics, science, and product teams.

You will design scalable lakehouse architectures, establish best practices in data engineering, and mentor junior engineers while focusing on performance, security, and cost optimization across the data platform.

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 systems.
  • Proven ability to lead complex data projects and collaborate with stakeholders.
  • Experience in technical leadership and mentoring team members.
  • English at C1 level; willing to visit Krakow office once a month.

Responsibilities

  • Design and develop advanced data pipelines in the Azure Databricks environment.
  • Create scalable data architecture using lakehouse technologies.
  • Define standards and best practices in Data Engineering.
  • Collaborate with Data Analytics, Data Science, and Product teams to deliver solutions.
  • Mentor less experienced engineers and provide technical support to the team.
  • Optimize performance, reliability, security, and cost of the data platform.

Skills

Apache Spark
Databricks
Snowflake
dbt
Python
English (C1)

Tools

Delta Lake
Apache Iceberg
HDFS

Job description

We are looking for an experienced Data Engineer to join our data engineering team in a rapidly growing environment where data is the main product. You will work in a highly skilled team responsible for developing and maintaining data pipelines on the Azure platform using Databricks, supporting all key business functions. Your main goal will be to build and maintain robust, secure data pipelines and help define the data model that delivers trusted datasets to our clients. You will collaborate with a team of engineers, data analysts, and product owners to deliver comprehensive solutions – from data acquisition to delivery to the end client.

Your tasks
  • 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
Requirements
  • Minimum 8 years of experience in data engineering
  • Strong knowledge of Apache Spark, Databricks, Snowflake, dbt, and Python
  • Previous work in designing solutions based on Delta Lake, Apache Iceberg, HDFS, or related data storage technologies
  • Ability to independently 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
Nice to have
  • Experience working with financial data or ETF products, as well as knowledge of Data Modeling, Great Expectations, or Deequ

Job no. JOB-FB7R4

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You
  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care
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