At a Glance
- Tasks: Lead data engineering projects using Snowflake to transform complex data into actionable insights.
- Company: Join Keyrus, a global leader in Data Intelligence with a focus on sustainability and innovation.
- Benefits: Enjoy competitive salary, private medical insurance, gym discounts, and a strong focus on career development.
- Other info: Work in a diverse, collaborative culture that values ownership and flexibility.
- Why this job: Make a real impact by helping clients navigate their data transformation journeys in a dynamic environment.
- Qualifications: 8+ years in data engineering with expert-level Snowflake skills and strong analytical abilities.
The predicted salary is between 58000 - 87000 € per year.
About Keyrus
Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective. Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities. Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions. At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
The Role
As a Senior Data Engineer, focused on Snowflake, you will work at the intersection of data, technology, and business, helping our clients turn complexity into clarity and insights into impact. You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and sustainable growth.
Job location: London, UK (Hybrid, 3 days on-site)
Contract type: Permanent
Target start date: May 2026
Working hours: Full-time (40h/week)
Compensation: £58k to £87k gross/year
Your Impact
- Understand client needs and lead delivery end-to-end — proposing solutions that solve real business problems across ingestion, transformation, governance, and activation.
- Build and manage scalable pipelines using Snowflake, Fivetran, Gong REST APIs, and Snowpipe.
- Configure AWS S3 raw landing zones and Snowflake External Stages to ensure a durable, immutable raw data layer.
- Deal with semi-structured data and expertly manage JSON/VARIANT payloads in Snowflake, implementing "schema-on-read" patterns to protect against upstream API changes.
- Architect complex dbt models to parse, flatten, and normalise VARIANT data into structured tables.
- Implement logic to merge issuer entities, contact records, and learner profiles across disparate systems to create a "Golden Record."
- Build semantic layers for predictive metrics, including Engagement Scores, Sentiment Trends, and Churn Risk.
- Leverage Snowflake Cortex AI for predictive scoring and surfacing insights.
- Maintain Governance and Security by implementing Role-Based Access Control (RBAC), PII masking (Dynamic Data Masking), and Row-Level Security (RLS) across the Snowflake environment.
- Support clients in their data and digital transformation journeys.
What Makes This Role Challenging
- You will work in complex, evolving client environments.
- You are expected to balance delivery quality with pragmatism.
- You will collaborate with diverse profiles across functions and cultures.
- Autonomy increases with seniority — so does responsibility.
What We’re Looking For
Must-haves:
- 8+ years of experience in data engineering.
- Proven experience in Snowflake (expert level: Snowpipe, Access History, Lifecycle Tags, Cortex AI, External Stages).
- Strong hands-on experience with dbt (expert in modular modelling, documentation, testing).
- Ability to integrate the deployment pipeline using git based tools.
- Experience in building ingestion pipelines using AWS S3, Fivetran, Snowpipe, and REST APIs.
- Expertise in Cloud-based architecture (e.g. Azure, AWS).
- Strong analytical and problem-solving skills, especially in handling JSON/VARIANT and schema-on-read patterns.
- Advanced SQL skills (Jinja2 templating is a plus) and working experience with Python for API interactions.
- Demonstrate strong ownership and work independently, taking responsibility for full-project delivery.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Fluency in English.
Nice-to-haves:
- Familiarity with Databricks for data engineering, notebook workflows, or distributed processing.
- Experience handling CI/CD pipelines for data workloads (e.g., GitHub Actions, GitLab, Azure DevOps, or similar).
- Knowledge of governance practices, including PII handling, RBAC, RLS, and data cataloguing.
- Understanding of reverse ETL concepts and tools.
- Experience with Data Viz tools for analytics and dashboarding (e.g. Qlik, Power BI).
- Experience in consulting environments and mentoring.
- Ability to champion best practices and keep up with innovations and trends on the data landscape.
How Our Salary Ranges Work
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
- Bottom of the range: You meet the core requirements and will need ramp-up time and support.
- Middle of the range: You are fully autonomous from Day 1 and deliver consistently.
- Top of the range: You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
What We Offer at Keyrus UK
- Competitive holiday allowance.
- Private Medical & Dental Insurance (Bupa).
- Group Life Insurance.
- Gym & fitness discounts via Pluxee (Sodexo).
- On-site gym access at our London office.
- Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo).
- Auto-enrolment pension scheme with Aegon.
- Training & Development via KLX (Keyrus Learning Experience).
- Strong focus on career development and internal mobility.
- Electric & hybrid car scheme via Tusker.
- Annual discretionary bonus, based on individual and company performance.
- Referral bonus for introducing new colleagues.
Why Keyrus?
Joining Keyrus means joining:
- A market leader in Data Intelligence.
- A company where people, trust, and diversity are core values.
- An environment that values ownership, flexibility, and innovation.
- A place where different backgrounds and perspectives are not just welcomed — they are essential.
We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus.
Equal Opportunity Statement
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
Senior Snowflake Data Engineer in London employer: Keyrus UK
Keyrus is an exceptional employer that prioritises employee growth and well-being, offering a competitive salary range and a comprehensive benefits package including private medical insurance, gym access, and a strong focus on career development through the Keyrus Learning Experience. With a vibrant work culture that values diversity, innovation, and collaboration, employees thrive in a supportive environment where their contributions make a meaningful impact on clients and society alike, all while enjoying the dynamic atmosphere of London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Snowflake Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Keyrus. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with Snowflake and data engineering projects. Use real examples to demonstrate how you've tackled challenges and delivered results.
✨Prepare for the Interview
Do your homework on Keyrus and their projects. Understand their values and how they use data to make an impact. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Follow Up
After your interview, drop a quick thank-you email to express your appreciation for the opportunity. It’s a simple gesture that keeps you fresh in their minds and shows your enthusiasm for the role!
We think you need these skills to ace Senior Snowflake Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Snowflake Data Engineer role. Highlight your experience with Snowflake, dbt, and any relevant projects that showcase your skills in data engineering. We want to see how you can make data matter!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our mission at Keyrus. Don’t forget to mention your experience in complex environments and your problem-solving skills.
Showcase Your Technical Skills:Be specific about your technical expertise in your application. Mention your hands-on experience with Snowflake, AWS, and any other tools listed in the job description. We love seeing candidates who can clearly communicate their technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s get started on this journey together!
How to prepare for a job interview at Keyrus UK
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with Snowpipe, Access History, and Cortex AI. Prepare specific examples of how you've used these tools to solve real business problems.
✨Showcase Your Problem-Solving Skills
During the interview, highlight your analytical skills by discussing past projects where you tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you turned complexity into clarity.
✨Communicate Clearly with All Stakeholders
Since you'll be working with both technical and non-technical teams, practice explaining your technical decisions in simple terms. Think about how you can convey your ideas effectively to different audiences, as this will be crucial in your role.
✨Emphasise Your Autonomy and Ownership
Keyrus values independence and responsibility, so be prepared to share examples of when you've taken ownership of a project. Discuss how you managed your time and resources to deliver results, showcasing your ability to work autonomously while still being a team player.
