At a Glance
- Tasks: Lead data engineering projects using Snowflake to transform complex data into actionable insights.
- Company: Keyrus, a global leader in Data Intelligence with a focus on sustainability and inclusion.
- Benefits: Competitive salary, private medical insurance, gym discounts, and career development opportunities.
- Other info: Join a diverse team that values innovation and offers excellent career growth.
- Why this job: Make a real impact by turning data into meaningful experiences for clients worldwide.
- 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.
Lead - Senior Data Engineer - Snowflake in London employer: Keyrus UK
Keyrus is an exceptional employer that prioritises employee growth and well-being, offering a competitive 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 both clients and society. Located in London, this hybrid role allows for flexibility while engaging with multidisciplinary teams in a dynamic international setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead - Senior Data Engineer - Snowflake in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you show that you're not just a fit for the role, but for the team too!
✨Tip Number 3
Practice your technical skills! For a Senior Data Engineer role, be ready to discuss Snowflake and dbt in detail. Consider mock interviews with friends or use online platforms to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead - Senior Data Engineer - Snowflake in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with Snowflake and data engineering, and show how your skills align with what we’re looking for at Keyrus.
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your expertise in building scalable data pipelines and handling complex data structures. We love seeing real-world applications of your skills!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your experience and achievements, making it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Keyrus UK
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake skills 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 abilities, especially when dealing with JSON/VARIANT data. Share stories that demonstrate how you've tackled complex data challenges and implemented schema-on-read patterns effectively.
✨Communicate Clearly with All Stakeholders
Since you'll be working with both technical and non-technical teams, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between different profiles and ensure everyone is on the same page.
✨Emphasise Your Ownership and Autonomy
Keyrus values independence and responsibility. Be prepared to discuss instances where you've taken full ownership of a project from start to finish. Highlight how you managed timelines, resources, and stakeholder expectations to deliver successful outcomes.
