Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Snowflake Data Engineer

London
5 days ago
Create job alert

Are you a skilled Data Engineer with deep Snowflake expertise and a passion for building scalable cloud-based solutions?

A fast-growing technology consultancy is looking for an advanced Senior Data Engineer to lead delivery squads, drive engineering excellence, and help shape innovative data solutions across cloud platforms like AWS, Azure, and GCP.

Join a high performing team that partners with enterprise clients across sectors to deliver cutting edge data projects. This is a hybrid role (2–3 days onsite) based in London, offering great technical scope, leadership opportunities, and structured career development.

Key Responsibilities

  • Lead technical delivery of Snowflake based data engineering projects for enterprise clients.

  • Design, build, and optimise scalable data pipelines and architectures using Python, SQL, and Snowflake tools such as Snowpipe, Snowpark, Tasks, and UDFs.

  • Collaborate with various teams to turn business requirements into robust, scalable data solutions.

  • Provide mentorship and line management to the wider team.

  • Maintain client relationships and ensure alignment between business goals and technical delivery.

    What You’ll Bring

  • 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP).

  • Expertise in Snowflake development and optimisation.

  • Strong skills in Python and SQL for ELT/ETL and transformation workflows.

  • Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc.

  • Familiarity with CI/CD pipelines, test automation, and DevOps practices in data workflows.

  • Stakeholder management

    Career & Development Opportunities

  • Structured career progression with increasing exposure to technical leadership, client strategy, and people management.

  • Access to 20 dedicated development days per year.

  • Funded certifications in technologies like Snowflake, Databricks, AWS, and Azure.

  • Hands-on leadership development, exposure to strategic projects, and collaboration with senior consultants.

    Role Details

  • Contract Type: Permanent

  • Salary: upto £85,000 (negotiable based on experience) + bonus

  • Location: Central London

  • Working Pattern: Hybrid – 2–3 days per week on site (client or office)

Related Jobs

View all jobs

Senior Snowflake Data Engineer

Senior Data Engineer Snowflake

Senior Data Engineer

Vice President, Senior Data Engineer

Vice President, Senior Data Engineer

Data Engineer - Informatica & Snowflake

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.