Lead Data Engineer

Lead Data Engineer
The client is a major player within the high-volume, regulated iGaming and betting sector, operating across multiple international markets. They focus on delivering data-driven solutions and high-performance digital entertainment experiences.
This initiative involves a major cloud migration and modernization effort, shifting legacy on-premises data infrastructure (including Kafka, NiFi, ClickHouse, and PostgreSQL workloads) into a modern, native AWS Lakehouse environment. The project is executed under a structured program governance model using a distributed, multi-market team delivery approach.
We are looking for a Lead Data Engineer to take ownership of end to end technical delivery of an AWS Lakehouse platform. This is a hands-on leadership role split approximately 60–70% engineering and 30–40% technical leadership. The successful candidate will define the platform's technical architecture, set engineering standards, make critical build-vs-buy decisions, and actively mentor senior and mid-level engineers within a shared backlog environment.
– Design and lead the implementation of an AWS native lakehouse platform using Medallion architecture with S3 and Iceberg
– Define and maintain Infrastructure as Code using Terraform, including environment setup and CI CD pipelines
– Design and implement Change Data Capture and streaming ingestion frameworks for migrating legacy data workloads
– Establish engineering standards including code reviews, automated testing, data quality validation, and reusable pipeline design
– Evaluate AWS services and align architecture with Well Architected principles
– Collaborate with product management to break down data products and guide engineering execution
– Mentor data engineers and support knowledge transfer to build internal capabilities
– Ensure platform observability, monitoring, and reliability across the data ecosystem
– 8+ years of experience in data engineering including at least 2 years in a technical leadership role
– Hands on experience with AWS data services including S3, Glue, Redshift, Athena, MSK Kafka, EMR Spark, Lake Formation, IAM
– Strong experience with Infrastructure as Code using Terraform and implementing CI CD pipelines
– Proficiency in Python and SQL for building data pipelines and data models across batch and streaming workloads
– Experience with open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi
– Experience designing and implementing Change Data Capture and real time streaming pipelines using Kafka, Flink, or Spark Structured Streaming
– Experience delivering end to end data platforms or leading large scale data migrations
– Experience migrating on premises data systems to cloud environments
– Ability to communicate technical decisions clearly to both engineering and business stakeholders
– Experience mentoring engineers and supporting team capability development
– Experience migrating legacy platforms such as ClickHouse, Apache NiFi, or PostgreSQL
– AWS certifications such as Data Engineer or Solutions Architect
– Experience working in regulated industries with high volume real time data processing
– Exposure to data governance tools such as AWS Lake Formation, AWS Glue Data Catalog, or Amazon Macie
– Experience with business intelligence tools such as Tableau
What We Offer:
– Vacation days: Up to 26 business days per year.
– 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
– Health and life insurance (Luxmed)
– MyBenefit platform with Multisport option
– Internal psychological support service
– English language classes from the first working day
– Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
– Flexible workplace: work from the office, from home, or choose a hybrid option
– Tech Skills Mentoring Program
– Opportunities to develop as a public speaker, mentor, or technical interviewer
– Fully paid idle (bench) when not involved in a project
– Certification reimbursement (AWS, GCP, Microsoft, etc.)