Data Engineer Technical Leader (Relocation to Poland)

Talan Group; Warszawa; On-site; PLN 297,619 - 382,653; Full time

Benefits offered by this job

Career development opportunities

Training in finance and technology

Multicultural working environment

Job summary

An international technology consultancy is seeking a Data Engineer Technical Leader to drive innovative data engineering solutions. You'll leverage your 7+ years of experience to guide project delivery, architect scalable systems, and mentor a talented team. This hybrid position in Warsaw offers a permanent contract with exciting career development opportunities in a multicultural and challenging environment. Ideal candidates should have strong skills in Scala, Spark, and cloud technologies and be fluent in English.

Qualifications

• 7+ years of experience in Big Data systems and data management.
• 3+ years of hands-on experience with Scala/Spark.
• Fluent in English (C1 level minimum).

Responsibilities

• Lead end-to-end technical delivery of data engineering projects.
• Architect, design, and implement scalable data pipelines.
• Mentor and support engineers.

Skills

Big Data systems

Scala

Spark

Data modeling techniques

Cloud environments

CI/CD tools

Communication skills

Team leadership

Education

Bachelor’s degree in technical or mathematical studies

Tools

GitHub Actions

Airflow

Kafka

Docker

Kubernetes

Sonar

Fortify

Job description

Data Engineer Technical Leader (Relocation to Poland)

Job Description

We are looking for a Tech Lead in Data Engineering team with a strong background in Spark/Scala technology to lead the design and delivery of cutting‑edge data‑driven solutions. This role combines hands‑on engineering with technical leadership – you will both architect scalable data systems and guide a team to successful implementation.

As a Technical Leader, you will:

• Lead end‑to‑end technical delivery of data engineering projects.
• Architect, design, and implement scalable data pipelines and platforms.
• Optimize workflows for data ingestion, processing, and storage (Spark, Airflow, Cloudera, DataBricks, Hive).
• Develop and maintain data lake solutions for structured and unstructured data.
• Collaborate with global teams (business, data, and technology) to align solutions with organizational objectives.
• Oversee code quality, CI/CD pipelines, versioning, and release management.
• Write and review high‑quality Scala/Spark code and contribute to automation.
• Mentor and support engineers, fostering technical excellence and growth.
• Ensure delivery is aligned with regulatory and compliance requirements.
• Hands‑on experience with testing Big Data solutions – unit tests, integration tests, E2E tests.
• Understanding AI tools and techniques and how they can contribute to increasing development efficiency.

Qualifications

Required qualifications

• 7+ years of experience in Big Data systems and data management.
• 3+ years of hands‑on experience with Scala/Spark.
• Excellent understanding of dimensional data and data modeling techniques.
• Experience implementing and deploying solutions in cloud environments.
• Ability to work independently and take ownership of project deliverables.
• Fluent in English (at least C1 level).
• Bachelor’s degree in technical or mathematical studies.
• Strong communication skills, at least 2 years leading development teams.

Preferred qualifications

• CI/CD and orchestration tools: GitHub Actions, Airflow, Control‑M, Bash scripting.
• Knowledge of Databricks, Kafka, Docker, Kubernetes, OpenShift.
• Familiarity with cybersecurity practices, code quality (Sonar), code security (Fortify) and SDLC.
• Experience with microservices architecture, REST APIs, frontend technologies (React, NextJS) and backend technologies (NodeJS).

Additional Information

What do we offer you?

• Hybrid position based in Warsaw, Poland.
• Permanent, full‑time contract with career development opportunities.
• Chance to work in a challenging, multicultural environment with international projects.
• Exposure to large‑scale financial IT systems and cross‑country operations.
• Training opportunities to develop new skills in finance, technology, and data management.

Talan Spain’s commitment to non‑discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s “Equality Plan” and the current regulations on gender equality between women and men (Royal Decree‑Law 6/2019).