Senior Data Engineer – AWS / Lakehouse / Streaming Data

• Contract
• EU - Remote

We’re supporting a major greenfield AWS data platform programme within the sports broadcasting and high-performance data space.

This is a high-profile engagement focused on shaping the architectural foundations of a next-generation cloud-native data platform supporting large-scale, real-time sports data environments.

You’ll work alongside AWS principal architects, senior consultancy leadership, and executive stakeholders to build a modern data lakehouse architecture capable of supporting complex, multi-tenant, real-time data workloads.

This is not a traditional BI or reporting architecture role. We’re looking for a senior-level Data Engineer with deep experience building modern cloud-native data platforms, streaming architectures, and scalable lakehouse environments in AWS.

The environment is greenfield, meaning you’ll play a key role in shaping:

• Data lakehouse architecture
• Streaming and event-driven data patterns
• Multi-region / multi-tenant design
• Real-time data processing strategies

We’re looking for experience across:

• AWS-native data architectures
• Modern data lake / lakehouse platforms
• Apache Kafka
• Apache Flink
• Event-driven architecture
• Real-time streaming data systems
• Multi-tenant and distributed systems design
• Data governance, PII, and compliance-heavy environments

Experience with technologies such as S3, Glue, Redshift, MSK, Iceberg, Delta Lake, Snowflake, Databricks, or similar modern data tooling would be highly beneficial.

You should also have:

• Strong consulting or client-facing experience
• Proven ability to engage with senior stakeholders and C-suite leadership
• Excellent communication skills
• Experience operating in complex enterprise environments

This is a great opportunity to work with industry leaders within the field of Sports Data. If you think you have the skillset to make significant impact to this role, Apply Now!