Data Practice Lead

CreateFuture

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!

Musixmatch

About Musixmatch   Musixmatch is the leading music metadata company, featuring the world’s largest lyrics catalog and a community of over 80M contributors. Musixmatch is the trusted global  partner of companies like Spotify, Apple, Amazon Music, Meta, Google, YouTube, Tidal, and Snapchat and works with nearly 4,000 music publishing rightsholders (representing more than 225,000 songwriters), including Sony Music Publishing, Universal Music Publishing, Warner/Chappell, Kobalt, BMG Rights, and the Harry Fox Agency. We are a bunch of creatives who care about our work and what we do.  We believe that participation and collaboration are key to getting things done well.  We are looking for tech-savvy people who are eager to learn in a fast-paced environment, who have an international outlook on life, and who love taking on new challenges. Position:   We are looking for a Security Practice Lead to own and drive information security across our organization. You will shape our security strategy, protect our systems, data, and expanding AI infrastructure, and act as a key voice in company-wide decisions. This is a high-impact, cross-functional role at the intersection of engineering, AI development, compliance, and leadership. What you will do: Define and own the security strategy: Oversee comprehensive security across cloud, network, and application layers, partnering with engineering on vulnerability management. Secure AI & ML integrations: Establish and enforce security guardrails for AI pipelines and LLM deployments, protecting against AI-specific threats (e.g., prompt injection, data poisoning, supply chain) and ensuring model safety. Risk & Incident Management: Assess security risks, monitor processes continuously, and coordinate effective incident response and recovery efforts. Policy & Compliance: Develop and manage security policies, ensuring compliance with privacy laws, standard frameworks, and emerging AI regulations (e.g., EU AI Act), aligning closely with DPO directives. Cross-functional Leadership: Collaborate with senior leadership to embed security (and AI security-by-design) into business decisions. Security Evangelism, Training & Vendor Management: Champion a security-first culture across the company. Design and deliver training programs, run awareness campaigns, and act as an internal advocate who makes security understandable and relevant for everyone, from engineers to non-technical teams. Manage risk assessments for external vendors and consultants to ensure third-party security standards are met. Requirements: Proven information security leadership experience with the ability to translate technical risks into business language Deep knowledge of standard security frameworks (ISO 27001, SOC 2, GDPR) and strong background in policy development Solid understanding of AI security: familiarity with AI-specific vulnerabilities (e.g., OWASP Top 10 for LLMs) and experience securing data privacy within machine learning pipelines Hands-on experience with cloud, application, and device security (MDM), incident management, and post-incident recovery Ability to work cross-functionally with engineering, product, AI/Data, legal, and executive teams Nice to have: Security certifications such as CISSP, CISM, CEH, or CAISP (Certified AI Security Professional) Familiarity with AI risk management frameworks (e.g., NIST AI RMF) Experience in the music, media, or entertainment tech industry Familiarity with DPO workflows, privacy-by-design principles, and working with regulatory bodies What we offer: Relocation to Bologna (Italy) or remote work. We are a hybrid company. Italian and English language lessons. Top-class tech and equipment. Company-wide retreats. The gross annual base salary for this role is €60,000-€70,000, calibrated on experience and seniority. The package includes a variable performance bonus tied to individual and company goals, plus a flexible welfare credit to use on the benefits that matter most to you. As a distributed team hiring across multiple countries, compensation may vary based on local market benchmarks and employment conditions in the candidate’s location.

Kraken

Help us use technology to make a big green dent in the universe!   Kraken powers some of the most innovative global developments in energy.   We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.   It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.    Kraken Customer   What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry.   Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. At Kraken, we're powering the most innovative energy and utility businesses globally. Our technology enables smarter grids, optimised generation and exceptional customer experience. But technology alone does not transform a business. Clients choose Kraken to improve customer experience, reduce cost to serve and increase their ability to innovate and grow. To succeed, they must rethink how the business operates – stronger data cultures, faster decision-making, smarter operations, and adopt entirely new ways of working.  Kraken’s unified technology and data platform enable transformation. The Operating Model Practice ensures clients are structurally built to win with it. The role As Kraken’s Practice Lead for the Data Operating Model, you will define and own Kraken’s point of view on great utility data practices. You will shape how utilities become data-driven – from org design and operating rhythms to data culture and business adoption. You’ll establish the frameworks, transformation patterns, and practical approaches that help clients turn Kraken data into measurable business impact Alongside this, you’ll codify repeatable data value use cases, building compelling proof points for how modern data practices improve business performance. You’ll define how Kraken engages clients on this through workshops, executive advisory, targeted pilots and transformation playbooks. You’ll scale this globally by enabling data CDLs and Org Design leads to apply the model consistently, while stepping in directly for critical client moments and complex transformations. This is an early-stage opportunity to shape how a major industry approaches data transformation. You’ll define this practice from the ground up – and change how major utilities operate in the process.