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 access, 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.
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.
- 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.
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 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 Senior Snowflake Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake and dbt. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled complex problems, especially with JSON/VARIANT data. Practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Keyrus team and making an impact with data.
We think you need these skills to ace Senior Snowflake Data Engineer
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 bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with Keyrus's mission. 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 features like Snowpipe and your ability to handle JSON/VARIANT data. 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. Plus, we love seeing applications come in through our own platform!
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 hands-on experience with Snowpipe, Access History, and Cortex AI. Prepare examples of how you've built scalable pipelines and managed semi-structured data, as this will show your expertise and problem-solving skills.
✨Showcase Your Analytical Skills
Since this role requires strong analytical abilities, come prepared with specific examples of how you've tackled complex data challenges. Discuss your experience with JSON/VARIANT payloads and schema-on-read patterns, and be ready to explain how you’ve implemented these in past projects.
✨Communicate Clearly with All Stakeholders
You’ll need to bridge the gap between technical and non-technical teams, so practice explaining your technical work in simple terms. Think of a few scenarios where you successfully communicated complex ideas to clients or team members who may not have a technical background.
✨Demonstrate Ownership and Autonomy
Keyrus values individuals who take ownership of their projects. Be prepared to share instances where you led a project from start to finish, highlighting your ability to work independently and deliver results. This will show that you can handle the responsibilities that come with seniority.
