Lead Data Engineer
Leads and mentors a team of data engineers building RS Group's Snowflake-based Enterprise Data Platform — designing, developing, and operating scalable data pipelines and products, setting engineering standards, and providing hands-on technical leadership. Core stack: Snowflake, dbt, Dagster/Airbyte, SQL.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience in a Senior or Lead Data Engineering role delivering scalable data solutions in production
- Strong expertise in Snowflake or a similar cloud data platform
- Hands-on experience with modern data engineering tools such as dbt, Dagster, or Airbyte
- Solid understanding of ELT/ETL, data modelling, SQL, and pipeline orchestration
- Experience with data quality, testing, monitoring, and performance optimisation
- Proven ability to lead, mentor, and support Data Engineers with hands-on technical leadership
- Strong problem-solving, communication, and stakeholder management skills
- Collaborative, delivery-focused mindset with a passion for high-quality data solutions
Nice to have
- Experience with SAP S/4HANA, AI-enabled engineering, or global enterprise-scale data environments
Full description
Location: This is a remote role, offering the flexibility to work virtually from anywhere within Poland.
Contract Type: full-time (contract of employment)
The Opportunity
As a Lead Data Engineer, you will play a pivotal role in shaping and advancing RS’s Enterprise Data Platform (EDP), built on Snowflake. Combining technical expertise, people leadership, and delivery ownership, you will lead the design, development, and operation of scalable, reliable, and high-performing data products and pipelines that power data-driven decision-making across our global organisation.
This is an exciting opportunity to translate data architecture strategy into impactful solutions, ensuring trusted, timely, and accessible data is available to support analytics, innovation, and business growth. Working at the heart of our Group Data function within IS&T, you will lead and mentor a team of Data Engineers, champion engineering best practices, and drive the delivery of high-quality data solutions aligned with enterprise priorities.
With visibility across the entire business, you will collaborate with a wide range of stakeholders, helping to unlock the value of data and accelerate RS’s transformation into a truly data-driven organisation.
What You Will Be Doing
- Lead the design, development, and delivery of scalable data pipelines and products on the Enterprise Data Platform.
- Define and champion engineering standards, best practices, and modern data engineering methodologies.
- Collaborate with architects, analysts, and business stakeholders to deliver high-quality data solutions.
- Ensure data platforms and pipelines are reliable, secure, performant, and cost-effective.
- Provide hands-on technical leadership through solution design, coding, and peer reviews.
- Act as the senior escalation point for complex data engineering and platform challenges.
- Lead, mentor, and develop a team of Data Engineers, fostering a culture of excellence and continuous improvement.
- Drive automation, AI-enabled engineering practices, and operational efficiencies across the data ecosystem.
- Support the transition of innovative data use cases into scalable, production-ready solutions.
- Contribute to major data platform transformation and migration initiatives across the organisation.
What You’ll Bring
- Experience in a Senior or Lead Data Engineering role, delivering scalable data solutions in production environments.
- Strong expertise in Snowflake or a similar cloud data platform.