Data Engineer Technical Leader (Relocation to Poland)

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise

• Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
• Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
• Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

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, your 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. 

Required qualifications

• 7+ years of experience in Big Data systems and data management.
• 3 + years of hands-on experience with Scala/Spark.
• Big Data technologies like Spark, Cloudera, Data Platform, Airflow, Hive.
• 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).

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).

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