We're looking for an experienced Lead Data Engineer to join our growing Data Practice, specialising in iGaming. You'll work as part of a multidisciplinary team delivering data solutions for some of the world's largest betting and gaming operators – organisations processing millions of events per day across sportsbook, casino, and exchange platforms.
This is a role for someone who understands the pressures of the iGaming data landscape: sub‑second odds feeds, high‑stakes data integrity requirements, complex regulatory reporting, and large‑scale platform migrations from legacy on‑premises estates to cloud‑native architectures on AWS.
As a Lead, you'll shape technical direction, mentor engineers, and act as a trusted partner to client data and engineering teams.
What you'll be doing
- Leading large‑scale data migrations from on‑premises or legacy platforms to cloud‑native architectures on AWS – including Lakehouse designs using Databricks or Snowflake
- Designing and building low‑latency data pipelines that process real‑time betting events, odds updates, and market data at high throughput
- Implementing robust data integrity controls – validation, reconciliation, and auditability – across betting, trading, and customer data domains
- Architecting streaming and micro‑batch solutions using AWS Kinesis, Apache Kafka, or MSK for real‑time sportsbook and in‑play data feeds
- Working with AWS platform services including S3, Glue, Lambda, Athena, Redshift, Lake Formation, Step Functions, and MWAA
- Supporting regulatory and compliance reporting – ensuring data pipelines meet the auditability and lineage requirements of the UK Gambling Commission and international regulators
- Leading and mentoring a team of data engineers, setting standards for code quality, testing, and documentation
- Contributing to technical proposals, pre‑sales scoping, and architecture reviews with iGaming clients
You know the iGaming data landscape
- You've worked in or closely with sportsbook, exchange, or casino platforms – and understand the data models behind markets, selections, bets, and settlements
- You've built or maintained low‑latency data feeds – odds ingestion, in‑play event streams, price change feeds – where milliseconds matter
- You understand the data integrity challenges specific to betting: reconciliation between trading and settlement systems, detection of data drift, and auditability for regulatory purposes
- You've delivered or contributed to large‑scale data migrations – moving high‑volume transactional or event data from legacy estates to the cloud without losing fidelity or uptime
- AWS is your primary cloud – you're confident across Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, and Step Functions
- You've built real‑time or near‑real‑time pipelines using streaming frameworks – Kinesis Data Streams, Kafka, Flink, or Spark Streaming
- You understand AWS cost models and how to optimise high‑throughput workloads – Spot compute, reserved capacity, and right‑sizing for event‑driven architectures
- AWS certifications are a bonus – Solutions Architect or Data Analytics Specialty
You know your tools
- Solid experience with Python, SQL, and Spark – and pipeline tools such as dbt or Airflow
- Comfortable with data quality frameworks and testing – Great Expectations, dbt tests, or custom validation layers
- Experience with infrastructure‑as‑code (Terraform, AWS CDK) is a plus
- Familiar with broader cloud platforms – Azure (Data Factory, Synapse) or GCP (Dataflow, BigQuery) – is beneficial but not essential
You thrive in a consultancy setting
- You've led or mentored data engineers and are comfortable owning technical direction on a complex engagement
- You can navigate the politics of a large operator – multiple teams, competing priorities, and legacy systems that can't just be switched off
- You balance hands‑on delivery with client engagement, and know when to push back on scope and when to be pragmatic
Primary cloud
AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA
Languages
Python, SQL, Spark
dbt, Airflow / AWS MWAA, AWS Glue
Platforms
Databricks, Snowflake, Amazon Redshift
IaC / DevOps
What we’ll offer you:
We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.
We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
