Lead Senior Data Engineer, Keyrus
Snowflake
£58-87k
+ Annual discretionary bonus
3 days a week in office
AI-driven toolkit for data analytics
Be an early applicant
AI-driven toolkit for data analytics
1001+ employees
Be an early applicant
£58-87k
+ Annual discretionary bonus
3 days a week in office
1001+ employees
Company mission
Keyrus's mission is to "make data matter".
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
- Working hours: Full-time (40h/week)
Application process
- Target start date: May 2026
- Note: All applications must be submitted in English
Salary benchmarks
Our take
Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimise business operations. However, the massive quantities of data that must be analysed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.
Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximise their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimising user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitisation, transformation, and innovation.
Whilst the company will face competition from startups producing specialised AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximise the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company benefits
- Access to our KLX platform with + 10.000 pieces of training
- Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
- Pension scheme
- Private medical insurance
- Annual bonus
- The chance to work with different technologies
- Be part of a company that wants to have an impact on the (digital) future
- An international, start-up mindset community of experts spread across 18 countries
Company HQ
Levallois-Perret, France
Leadership
Bruno Dehouck
(CEO of UK & Iberia)Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.
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