Data Engineering Team Lead

IG KnowHow; Kraków; On-site; PLN 162,489 - 194,630; Full time

Benefits offered by this job

Tailored development programs

Mentoring opportunities

Extra time off for volunteering

Job summary

IG KnowHow in Kraków is seeking a Data Engineering Team Lead to manage data pipeline projects on GCP and mentor a team of engineers across multiple locations.

The role requires hands-on experience with large-scale data pipelines and strong communication skills to engage with stakeholders. This position follows a hybrid work model, fostering a culture of excellence and ownership among team members.

At IG KnowHow, you'll enjoy tailored development programs and extra time off for community work.

Qualifications

• Hands-on experience with designing and operating large-scale data pipelines on GCP.
• Experience leading or mentoring a team of data engineers.
• Strong understanding of data quality practices and tools.
• Experience managing ingestion estates with third-party connectors.
• Comfortable working with non-technical stakeholders in a regulated environment.

Responsibilities

• Lead and deliver data pipeline work within the GCP consolidation programme.
• Coach and develop a squad of data engineers across multiple locations.
• Drive data quality and maintain delivery rigour.
• Act as the technical point of contact for stakeholders.
• Run sprint cadences and report on data metrics.

Skills

GCP (BigQuery, Cloud Composer/Airflow, GCS)

Apache Kafka

SQL transformation patterns

Data quality practices

Cross-functional communication

Tools

dbt

Job description

Data Engineering Team Lead

Minimum compensation: starting from 16000PLN. Final offer will be determined based on the candidate’s experience and competencies.

Overview

IG Group is a FTSE 100 fintech operating across five continents, serving over 1.3million customers and handling billions of dollars in transactions. We focus on solving genuinely complex problems with the right technology and resources.

About the Data Team

The Data function serves central and divisional business lines across the entire IG estate. The Data Engineering team builds the platforms that underpin analytics, reporting, compliance, and client‑facing data products, and will increasingly power AI and machine‑learning use cases.

Key Responsibilities

• Lead and deliver data pipeline and platform work within the GCP consolidation programme, owning squad commitments end‑to‑end across batch and real‑time (Kafka) workloads.
• Coach, develop, and performance‑manage a squad of data engineers across London, India, and Poland, fostering a culture of engineering excellence, ownership, and continuous improvement.
• Drive data quality as a first‑class concern: embed data contracts, observability, and SLA monitoring across ingestion and transformation layers in the Medallion architecture.
• Act as the technical point of contact for stakeholders in Compliance, Marketing, and Data Science, translating requirements into well‑scoped engineering deliverables.
• Maintain delivery rigour: run sprint cadences, manage commitments, elevate risks early, and report on pipeline SLOs, data freshness, and DORA‑style engineering metrics.

Required Qualifications

• Hands‑on experience designing and operating large‑scale data pipelines on GCP (BigQuery, Cloud Composer/Airflow, GCS), with proven knowledge of Apache Kafka and real‑time streaming architectures.
• Demonstrated experience leading or technically mentoring a team of data engineers, with the ability to set standards, conduct code and design reviews, and grow engineers’ capabilities.
• Strong grasp of data quality practices: data contracts, pipeline observability, SLA/SLO definition, and automated alerting and remediation.
• Solid understanding of SQL transformation patterns and modern tooling such as dbt, alongside experience managing ingestion estates with third‑party connectors and in‑house integrations.
• Clear and confident communicator able to work cross‑functionally with non‑technical stakeholders; comfortable in a regulated financial services environment with structured delivery disciplines (sprint cadences, change control, escalation).

How we work

We follow a hybrid working model with 3 days in the office.

• Lead and Inspire: drive trust, alignment, and enthusiasm.
• Think Big: focus on the problems that most impact commercial outcomes.
• Champion the client: understand and prioritise client’s needs.
• Deliver at pace: push for fast, sustainable growth.
• Raise the bar: take ownership, be accountable and share feedback.

Perks

• Tailored development programs, mentoring opportunities with leaders, and clear career progression.
• Expand your network through committees, sports and social clubs.
• Extra time off for volunteering and community work.