Technical Product Manager for Data Engineering at Betclic. Owning product roadmaps, driving data infrastructure evolution, and ensuring alignment across engineering teams.
About the role
- Senior Data Engineer leading tailored data-driven solutions delivery for public sector clients. Involves data transformation projects and building AI-powered tools for decision making.
Responsibilities
- Influencing major digital and data transformation projects across the UK public sector
- Building and utilising smart, AI-powered tools that support real decision making
- Using tech to make a genuine difference in society
- Lead the delivery of tailored solutions to clients
- Responsible for the design, delivery, and implementation of solutions spanning end-user interfaces and innovative user experience to data-driven solutions
- Lead the end-to-end delivery of data and digital solutions of varying scale and complexity across multiple technical domains
- Build, optimise, and maintain scalable data pipelines that handle high-volume, high-velocity data in complex SaaS environments
- Design efficient, scalable, and flexible data models in multiple technologies to meet business requirements
- Analyse and consolidate business requirements and use cases to meet technical and non-technical debt
- Make key decisions on build vs buy for data and digital engineering solutions and platforms
Requirements
- Data Engineering Expertise
- Proficiency in one or more core data languages and technologies, such as SQL, Scala, Python, R, PySpark, and Elasticsearch
- Proven experience designing, building, and maintaining robust data pipelines using AWS, Azure, and/or open-source frameworks including Spark, Beam, and Airflow
- Hands-on experience with real-time data streaming technologies (e.g., Kafka, Pub/Sub)
- Strong background in data quality and validation practices, including defining metrics/KPIs and implementing automated quality controls
- Ability to design, build, and optimise scalable data models that support analytics and machine learning workloads
- Solid working knowledge of AWS data services (e.g., S3, Kinesis, Glue, Redshift, Lambda, EMR) or Azure equivalents (e.g., ADF, Synapse, Fabric, Azure Functions)
- Experience working within Data Lakehouse platforms such as Databricks, Snowflake, and/or Microsoft Fabric is an advantage
- Practical understanding of at least one major cloud provider (AWS or Azure)
- Strong analytical and problem-solving skills
- Excellent communication skills
- Demonstrated ability to collaborate effectively within distributed or remote teams
- A willingness to mentor and support colleagues in their professional development.
- The successful candidate must hold or be required to go through an SC security clearance.
Benefits
- 25 days annual leave plus birthday off
- Ability to buy and sell 5 days holiday
- Private Healthcare Coverage
- Training & Skills Development
- Fitness Reimbursement
- Life Assurance
- Pension Contribution
- Perkbox Subscription
- Flexible Work Arrangements
- Internal Reward Schemes
- Community Engagement & Volunteer Opportunities
Job title
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