Senior Data Reliability Engineer

Alpha FMC

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and works across regulated financial markets, bringing deep expertise in insurance, alternative asset markets — including private equity, private credit, infrastructure and real estate — and other specialised financial sectors. This focus enables us to bring relevant, hands-on experience to our clients’ most important challenges.  We have our headquarters located the United Kingdom, as well as offices in major global financial centres across the United States, France, Netherlands, Luxembourg, Switzerland, and Asia. ABOUT THE ROLE Our senior data engineers are hands-on leaders of consultants and client teams, building data platforms for clients in regulated financial services – private equity, real estate, fund administration, and specialist insurance. You'll work directly with client stakeholders, from engineering leads to CTOs, delivering production pipelines on Databricks or Snowflake (strong experience in one is sufficient). This is a hands-on build role with client exposure. You'll write code, review architecture decisions, lead junior engineers and explain trade-offs to people who aren't engineers. WHAT YOU'LL DO * Lead and mentor junior engineers on your delivery workstream, reviewing their code and data model decisions * Build reliable ingestion pipelines that move client data from source systems into the platform efficiently and securely * Design data models – Data Vault 2.0, Kimball Dimensional etc. that survive audit and give the business one trusted version of the numbers * Build pipelines to agreed SLAs and own their reliability in production * Work with domain SMEs to translate business logic into pipeline logic that produces correct numbers * Bring LLM-based processing into pipelines where it fits, document parsing, entity extraction, unstructured data classification, alongside deterministic logic * Build AI-powered business solutions on the platform, agents, search, and applied use cases on Mosaic AI or Cortex, that solve a client problem with trusted data rather than demo a capability * Support pre-sales by sizing effort and cost for prospective engagements, contribute to delivery plans, and present technical approach to prospective clients WHAT YOU'LL BRING * 4+ years in data engineering, with at least 2 years on Databricks or Snowflake in production (one platform is sufficient) * Strong SQL and Python; comfort with PySpark or Snowpark * Strong experience with at least one cloud vendor, Azure, AWS, or GCP, including core services beyond the data platform itself (networking, IAM, storage) * Working knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0 * Comfortable presenting technical decisions to non-technical stakeholders * Track record of setting engineering standards and reviewing others' code for quality, not just correctness * Comfortable leading or mentoring junior engineers on a delivery team, and taking ownership of technical decisions ADDITIONAL EXPERIENCE WE’D VALUE * Snowflake or Databricks certifications * Familiarity with private markets data (fund administration, private equity/real estate, secondaries) or London Market insurance * Experience with supporting tooling such as IaC; Transformation (dbt); DevOps; Data Quality; Data Modelling; Data Glossary/Governance; iPaaS/ELT, Orchestration * Some exposure to regulated environments – financial services, insurance, or similarly audited sectors – and awareness of relevant regulatory frameworks including FCA SYSC, DORA, and MiFID II WHAT THE ENGAGEMENT LOOKS LIKE You'll work closely with client teams, alongside their internal engineers and Alpha consultants in a regulated environment where change control, data lineage and documentation matter. You'll write code, typically tackling the most complex challenges, review code and data model decisions across the team, and take responsibility for a delivery workstream – planning it, running it, and leading the junior engineers working on it. WHAT WE OFFER * Competitive base salary  * Annual performance bonus tied to individual and company outcomes. * Comprehensive benefits package including private medical insurance, life assurance, and income protection. * Hybrid working model with flexible arrangements to support work-life balance. * Generous pension scheme with enhanced employer contributions. * Continuous learning budget and access to industry conferences, certifications, and training programmes. * 25 days annual leave plus bank holidays, with option to buy additional days. * Employee assistance programme and wellbeing support.

Elliptic

Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values‑driven company that invests in its people and gives you the autonomy to shape critical systems? We’re looking for a Senior Software Engineer to join Elliptic’s Product‑Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain‑agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross‑team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: * Architect, design, and implement large‑scale distributed data systems and pipelines. * Contribute to technical decision‑making across batch and streaming data solutions. * Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer‑focused products. * Explore and integrate new technologies (e.g. data orchestration or cloud‑native tools) to optimise performance and scalability. * Take shared ownership of data systems, from design to deployment and ongoing improvement and support. * Perform thoughtful peer reviews that raise code quality and share best practices across the team. * Contribute to platform‑wide initiatives that improve reliability, observability, and cost efficiency. * Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming We value depth in any modern data ecosystem. If you’re strong in equivalent technologies and excited to learn Scala, we’ll support you in the transition. You will thrive here if you: * Enjoy end‑to‑end ownership, from architecture design to coaching others through delivery. * Strive for engineering excellence and scalable, sustainable systems. * Use data and experimentation to guide decisions. * Communicate openly and collaborate across teams. * Support and coach less‑experienced engineers. * Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: * Ability to design, build, and maintain distributed data systems in a cloud‑based environment. * Hands‑on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). * Knowledge of cloud infrastructure (AWS, GCP, or Azure). * Judgement to balance scalability, performance, and maintainability. * Experience or interest in functional programming, data modelling, workflow orchestration, or AI‑driven tools. If you don’t meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: * Experience in stream processing frameworks and event‑driven architecture. * Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation). * Experience working in containerised environments (Docker, Kubernetes). * Interest in crypto and blockchain technologies. JOB BENEFITS > How we work: * Hybrid working and the option to work from almost anywhere for up to 90 days per year * £500 Remote working budget to set up your home office space > Learning & Development: * $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development > Vacation/ Leave: * Holidays: 25 days of annual leave + bank holidays * An extra day for your birthday * Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. > Benefits: * Private Health Insurance - we use Vitality! * Full access to Spill Mental Health Support * Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries * Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it’s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don’t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.

XYZ Reality

About Us At XYZ Reality, we are a well-established, award-winning Series-A start-up accelerating toward our next funding round. Our mission is to expand our platform, enhancing features, performance, and scalability while revolutionizing the construction industry. We are a multi-disciplinary, fast-paced company working across diverse domains, including cloud development, data governance and processing pipelines, electronics, embedded software/hardware, mechanical design/manufacturing, AI & computer vision, and data science—all powering our BIM Platform. To drive this mission, we are seeking a Data Engineer experienced in data modelling, databases and data pipelines to support our existing tech stack as well as developing new features with performance, scalability in mind. You will work closely with our API/backend development and data pipeline team to create robust and efficient solutions. Responsibilities · Design, develop, and maintain dagster-based data pipeline using Python. · Design and implement efficient data models accommodating the planned product features and application requirements. · Develop SQL queries and procedures to be used by data pipeline and API services. · Debug, maintain and improve our existing codebase. · Develop and execute unit tests and integration tests to ensure software reliability. · Conduct performance profiling and stress testing to optimize system responsiveness. · Maintain clear, structured documentation for data models and ETL/ELT pipelines and codebases. · Collaborate closely with cross-functional teams, including client applications and cloud teams. · Stay adaptable, learning new technologies and contributing to various technical areas as needed. Required Skills & Experience · Bachelor’s degree in computer science or a related field or equivalent proven experience in database and data pipeline development. · Hands-on experience with code driven orchestration tools such as Dagster or Airflow · Solid experience with relational databases and SQL, preferably PostgreSQL. · Strong Python language and OOP skills. · Experience in data modelling for both transactional systems and analytical systems. · Strong debugging, troubleshooting, and performance optimization skills. · Proficiency with Git, including active participation in code reviews. · Excellent communication and teamwork skills. · Keen in developing in-house tech stacks as well as utilizing off-the-shelf components to build a robust solution. Preferred Qualifications · Familiarity with CI/CD pipelines, such as GitHub Actions and Liquibase. · Knowledge of REST/GraphQL or other API design methodologies. · Familiarity with working in Linux based environments. · Experience with Docker and Kubernetes for container orchestration. · Experience in Test-Driven Development (TDD), PyTest and software design patterns. What We Offer 🏝️ 25 days annual leave + public holidays 🩺 Private healthcare with Vitality 🎄 Christmas shutdown days on top of leave allowance (2-4 per year usually) 🚇 Office located within a 5-minute walk from Angel station 🏠 Hybrid working 🪙 Biannual salary reviews 🥳 Summer & Christmas staff parties 🍣 Free lunch bought in and after-work gathering/drinks every other Thursday in the office 💰 Employee referral scheme 🚀 Make a real-world impact of revolutionising the construction industry If you'd like to see the products and technology we have created so far on our journey you can view it in action through our YouTube and Website