Data Engineer - GammaLabs

A bit about us At Gamma, we’re more than just a leader in Unified Communications as a Service (UCaaS). We’re a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do — powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start-up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work — and we’re always looking for people who want to build meaningful technology at scale. Who are we looking for? Design, build, and continually improve end‑to‑end, Snowflake‑based curated analytics data models that deliver secure, reliable, and high‑performing data to meet the needs of stakeholder teams across the business. What will you be doing day-to-day? Design, develop, and maintain Snowflake‑based curated analytics models and views that transform raw business data into trusted, analytics‑ready datasets. Ensure curated datasets are secure, reliable, and performant by applying Snowflake best practices, including RBAC, query optimisation, and efficient use of materialisation and compute resources. Implement and operate core Snowflake features such as Snowpipe, Streams, and Tasks, and leverage Snowflake Cortex/AI capabilities (semantic views, analyst services, search engines) to enhance self‑service analytics and advanced analytical use cases. Develop and maintain ELT workflows using dbt and orchestration tools (Openflow/NiFi preferred), with a strong understanding of upstream ingestion patterns and a primary focus on supporting downstream analytics and data serving. Work closely with product, engineering, and business stakeholders to turn requirements into scalable data solutions. Mentor and support other squad members in adopting data engineering best practices. What you’ll need 3+ years of data engineering experience, with 2+ years hands‑on with Snowflake, building analytics‑focused ELT pipelines and curated datasets. Advanced SQL and solid Python skills, with experience using Snowflake features such as Snowpipe, Streams, Tasks, stored procedures, and performance optimisation. Familiarity with a cloud platform is important (AWS preferred). Hands‑on experience with dbt, including analytics transformations, testing, documentation, and version‑controlled development. Strong analytics data modelling skills, including star, snowflake, and denormalised schemas, with a clear understanding of grain, facts, and dimensions. Understanding of data governance and security, including RBAC, GDPR considerations, pipeline monitoring, and core warehousing concepts (SCDs, partitioning, clustering, indexing). SnowPro Core or Advanced certification is desirable Experience with vector search/embeddings, RAG patterns, applied machine learning, or analytical feature engineering is a plus. What do we offer you? At Gamma, we believe in work–life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax-efficient share save and share incentive plans. We’re also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can’t offer visa sponsorship or relocation support for this role.This role is hybrid, with office and home working flexibility.If you feel you could be a great fit for Gamma but don’t meet every requirement, we still encourage you to apply — you might be exactly who we’re looking for.Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics. Recruitment agencies: We work with a trusted group of recruitment partners and are not looking to expand this network at present. Please do not send speculative CVs.