Data Engineering Lead: Build Scalable Data Platforms (Remote)

Element

Kraków, Warszawa, Rzeszów

Hybrid

PLN 240,000 - 420,000

Full time

2 days ago
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Benefits offered by this job

Remote or hybrid workplace
Laptop and/or phone
Home office equipment provided
Opportunity to realize new ideas

Job summary

G2A is seeking an experienced Data Engineering Lead to shape our data strategy and own end-to-end data platform initiatives. You will guide data teams, set architectural direction, and partner with business units to translate goals into deployable tasks.

The role offers remote or hybrid work options and a strong emphasis on building scalable, reliable data products while advancing your team’s skills and the company’s data maturity.

Qualifications

  • Extensive experience with Big Data tech stack (Flink, Spark, Kafka, Airflow).
  • Experience with Azure Databricks.
  • Proficiency in Golang.
  • Strong knowledge of Google stack: BigQuery, GA4, GTM Server-side.
  • Proficiency in Microsoft stack: MS SQL, SSIS, Power BI.
  • Familiar with Kubernetes, Tableau and Ceph.
  • Strong understanding of Data Warehousing architecture patterns.
  • Knowledge of High Availability and scalability in data processing.
  • At least 4 years handling large data volumes (DWH ETL, streaming or batch).
  • At least 2 years back-end development experience.
  • Experience as Data Engineering Lead or similar role.
  • Ability to lead teams and motivate others.
  • Excellent communication and cross-functional collaboration.
  • Strategic and visionary approach.

Responsibilities

  • Leading the Data Teams to deliver efficient, scalable data processing solutions.
  • Opportunity to build your own team.
  • Own products development with full ownership.
  • Impact on company strategy and data architecture.
  • Translate objectives into refined backlog for tasks and activities.
  • Implement best practices for data management and quality assurance.
  • Develop clear communication between data teams and the organization.
  • Design and maintain company-wide analytical data architecture.
  • Provide architecture-related decision-making as a technical advisor.
  • Daily cooperation with Business and Product departments.
  • Uphold company standards and tech department practices.
  • Maintain positive team culture and streamline admin tasks.
  • Constantly research bleeding-edge tech solutions.

Skills

Big Data stack
Apache Flink
Apache Spark
Apache Kafka
Apache Airflow
Azure Databricks
Golang
Google BigQuery
GA4
Power BI
MS SQL
Kubernetes
Tableau
Ceph
Data Warehousing
HA/Scaling
Back-end Dev

Tools

Tableau
Power BI
Ceph

Job description

G2A is seeking an experienced Data Engineering Lead to shape our data strategy and own end-to-end data platform initiatives. You will guide data teams, set architectural direction, and partner with business units to translate goals into deployable tasks.

The role offers remote or hybrid work options and a strong emphasis on building scalable, reliable data products while advancing your team’s skills and the company’s data maturity.

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