
CreateFuture · leeds
Who we are CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for ma...
Who we are
CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products
and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds,
Manchester, and London as well as remote employees located throughout the country.
We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns,
large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and
partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert,
to name just a few.
Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500
people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have
built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best
Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low.
Join us on our journey… Let’s create something awesome, together, today.
We're looking for an experienced Senior 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.
What you'll be doing
implementations using Databricks or Snowflake.
scale.
domains.
and in-play data feeds.
Functions, and MWAA.
requirements for the UK Gambling Commission and other international regulators.
data platforms.
mentoring junior engineers where appropriate.
into delivery approaches and technical decisions.
selections, bets, and settlements
milliseconds matter
detection of data drift, and auditability for regulatory purposes
estates to the cloud without losing fidelity or uptime
Streaming
right-sizing for event-driven architectures
essential
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, custom reconciliation
frameworks
IaC / DevOps Terraform, AWS CDK (desirable)
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.
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.
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.
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!
Who we are CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country. We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few. Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low. Join us on our journey… Let’s create something awesome, together, today. About the role and team: ABOUT THE ROLE AND TEAM We're looking for a Principal Data Engineer to join our Data Practice and own the technical direction of our iGaming data engineering capability. You'll work with some of the world's largest betting and gaming operators — organisations processing hundreds of millions of events per day across sportsbook, casino, exchange, and lottery platforms. A Principal at Create Future operates above the delivery line as well as within it. You'll define how we solve the hardest data engineering problems in iGaming: petabyte-scale migrations from legacy on-premises estates, sub-millisecond event pipelines, settlement reconciliation at bookmaker scale, and the data foundations that keep operators compliant with gambling regulators globally. You'll influence the shape of engagements from pre-sales through to delivery, grow the engineering talent around you, and be a recognisable voice for Create Future in the iGaming market. WHAT YOU'LL BE DOING TECHNICAL LEADERSHIP * Defining and owning the data engineering architecture patterns Create Future uses across iGaming engagements — migration frameworks, streaming architectures, data integrity standards, and Lakehouse design * Acting as the most senior technical authority on client engagements — making critical architecture decisions, resolving design disputes, and setting the bar for quality * Reviewing and signing off technical designs produced by Lead and Senior engineers across active engagements * Identifying and driving the adoption of new tooling, patterns, and AWS services that improve delivery outcomes across the iGaming practice DELIVERY * Leading the technical design and execution of large-scale data migrations — moving high-volume transactional and event data from on-premises or legacy cloud estates to AWS, without loss of fidelity or operational continuity * Architecting real-time and near-real-time data pipelines for sportsbook and in-play use cases — odds feeds, market events, bet placement streams, and settlement pipelines — where latency and correctness are non-negotiable * Designing and enforcing data integrity frameworks across betting, trading, and customer data domains — including reconciliation between source and target systems, anomaly detection, and audit trail requirements * Overseeing the implementation of regulatory and compliance reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies * Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA — selecting the right tool for each problem rather than defaulting to a stack 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!
Join a forward-thinking team shaping the future of HR Analytics. Work with a modern Azure and Databricks stack to deliver high-impact data solutions across Sweden and the Baltic states in a dynamic banking environment. About the role As a Data Engineer in this role, you will combine technical expertise with business understanding to develop our client's HR Analytics platform. You will primarily work on building and maintaining data models in Databricks using PySpark and SQL. You will also oversee and further build upon automated workflows in Databricks Workflows. The key competencies for this position also include Kimball modeling, practical application of SCD1 & SCD2, and experience with code management via Azure DevOps. You are offered We offer a high-impact hybrid role where you can work with the latest cloud technologies like Databricks and Azure, while enjoying the flexibility of a modern workplace environment. Work tasks This role focuses on the technical development and orchestration of data within an HR Analytics environment, utilizing Azure and Databricks to process complex HR data sets. Develop and maintain PySpark and SQL notebooks within Databricks on a daily basis. Implement and manage SCD1 and SCD2 Configure Unity Catalog for data governance, including catalogs, grants, and security. Manage CI/CD processes using Azure DevOps repos and YAML pipelines. Monitor Databricks Workflows and task dependencies. Collaborate on Power BI semantic models. We are looking for Advanced knowledge of Databricks, including PySpark and SQL. Strong experience with Delta Lake operations such as MERGE. Proficiency in designing Kimball star schemas and SCD1/SCD2. Solid understanding of Azure DevOps, YAML pipelines, and PR processes. Professional fluency in English and Swedish. It is meritorious if you have Knowledge of Oracle HCM or PeopleSoft data models. Experience with Power BI import mode and semantic models. Familiarity with Azure ADLS Gen2 Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.
Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Senior Data Engineer to join our Data Team, taking a leading role in building the complex, scalable systems that power our data strategy. You will lead architectural discussions, own the design of business-critical data solutions and deliver high-quality systems that bring millions of fans closer to the sports they love. This is a fantastic opportunity to lead the optimisation of our data platforms for real-time AI/ML workloads, mentor engineers and make a significant impact on our business. The Senior Data Engineer leads technical initiatives, maintains data integrity and performance, and works across teams to translate complex business requirements into effective data solutions. The role also uses automation and artificial intelligence to improve efficiency, decision-making and productivity across the organisation. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! Key Responsibilities * Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Own the design of data models and databases that support business analytics and intelligence, using dimensional data-modelling principles. Select and use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Lead the automation of data workflows and optimisation of data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and establish best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts and IT teams to define data requirements and deliver comprehensive data solutions. Provide technical leadership and guidance to team members. * Evaluate new GCP features and data-engineering technologies, setting technical direction where they can enhance data infrastructure or enable new data products. * Lead the resolution of critical pipeline failures and data-quality incidents, performing fault analysis and ensuring that preventative improvements are implemented. * Lead critical system-design and architectural decisions for scalable batch and real-time workloads. * Partner with cross-functional teams to translate complex or ambiguous business needs into effective and innovative data solutions. * Mentor engineers, review technical designs and foster a culture of continuous learning and engineering excellence. * Own improvements to the reliability, performance and cost-effectiveness of data systems. * Lead the design and maintenance of robust, secure integrations with core internal systems and critical third-party platforms. * Define appropriate monitoring and alerting standards to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience * Significant experience in data engineering or data warehousing with large-scale, complex datasets. * Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately. * Strong knowledge of data-modelling techniques. * Deep experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing. * Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform. * Experience with Airflow environment management and Docker. * Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle. * The ability to explain complex technical concepts clearly and concisely to technical and non-technical stakeholders. * Demonstrable experience applying data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach, with the ability to anticipate and resolve system inefficiencies. * The ability to lead cross-functional technical work and translate complex or ambiguous requirements into robust data solutions. * A track record of taking end-to-end ownership for the quality, reliability and performance of business-critical data solutions. * Experience mentoring engineers and influencing technical standards across a team. What can we offer? * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials