Practice and people

• Mentoring and growing Lead and Senior Data Engineers — through code review, pairing, architecture sessions, and career conversations
• Building the iGaming data engineering playbook: reusable patterns, accelerators, and reference architectures that reduce time-to-value on new engagements
• Contributing to hiring — defining what great looks like for data engineering roles and playing an active part in assessment
• Representing Create Future externally — at industry events, in technical blog posts, and in client-facing settings — as a credible voice on iGaming data engineering

Commercial

• Shaping and leading technical responses to iGaming opportunities — scoping complex engagements, writing architecture proposals, and presenting to senior client stakeholders
• Identifying expansion opportunities within existing client relationships — spotting data engineering problems we can help solve and framing them as propositions
• Partnering with AWS on joint go-to-market activity where relevant, leveraging Create Future's Advanced Partner status

What we're looking for

Deep iGaming domain expertise

• Extensive experience working in or closely with sportsbook, exchange, or casino platforms — you understand the data models, operational pressures, and regulatory constraints from the inside
• You've led or made decisive contributions to large-scale data migrations in iGaming — moving live betting, customer, or trading data at scale while maintaining integrity and uptime
• You've designed or owned low-latency data pipelines where correctness and throughput are both critical — odds ingestion, in-play event streams, bet settlement, or equivalent
• You understand what data integrity means in a regulated gambling context: reconciliation, audit trails, lineage, and the consequences of getting it wrong

AWS data engineering mastery

• AWS is your primary cloud and you can design across the full data engineering stack — from ingestion and streaming through to warehousing, serving, and cost optimisation
• You have deep experience with streaming architectures — Kinesis, Kafka/MSK, Flink, or Spark Streaming — and know when each is the right choice
• You can model the cost implications of architecture decisions and advise clients on trade-offs between throughput, latency, durability, and spend
• AWS certification at professional or specialty level is strongly preferred

Engineering excellence

• Mastery of Python, SQL, and Spark — and strong opinions on how they should be used in production data pipelines
• Deep experience with dbt, Airflow, or equivalent orchestration — including how to build pipelines that are testable, observable, and operationally sound
• Strong understanding of data quality engineering — not just validation rules, but how to build systems that detect and surface integrity issues before they reach consumers
• Comfortable with infrastructure-as-code (Terraform, AWS CDK) and treating data platform infrastructure as a first-class engineering concern

Consultancy and leadership

• You've operated at Principal or equivalent level — making architectural decisions that affect multiple teams, and being accountable for their outcomes
• You're comfortable in C-suite and VP-level client conversations, translating technical complexity into business risk and opportunity
• You can hold a room on a difficult technical topic and reach a decision — not just present options
• You've grown engineering talent around you and take it seriously as a leadership responsibility

Tech snapshot

Primary cloud

AWS — Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA

Streaming

AWS Kinesis, Apache Kafka / MSK, Apache Flink, Spark Streaming

Languages

Python, SQL, Spark

Pipeline tools

dbt, Airflow / AWS MWAA, AWS Glue

Platforms

Databricks, Snowflake, Amazon Redshift

Data quality

Great Expectations, dbt tests, reconciliation frameworks, data observability tooling

IaC / DevOps

Terraform, AWS CDK

Certification

AWS Professional or Specialty level strongly preferred

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.

Our hiring process

We try to keep our hiring process clear, fair, and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.

It usually looks like this:

• Call with our Talent Acquisition Team
• Role specific capability interview

Depending on the role, we might also ask you to do a short presentation, a practical or technical task, or have a values-focused conversation. We will explain what is involved before anything happens.

Inclusion at CreateFuture

We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.

If you need any adjustments or support during the application process, just. We will do what we can to help.

We look forward to your application!