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.
#OneTeamOneKeyrus
As a Senior Data Engineer, 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: ASAP
⏰ Working hours: Full-time (40h/week)
💵 Compensation: £58k to £87k gross/year
Note: All applications must be submitted in English.
In this role, you will:
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 normali se 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 Securityby 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
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 build 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
Exposure to Customer 360 (C360) or Sales Intelligence data models (Gong / Salesforce)
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, mentoring and championing best practices
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.
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.
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.
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.
As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective.
Our value proposition is built on diverse service groups:
Automation & Artificial Intelligence: We provide our clients with the tools to enhance productivity and accuracy across their processes, allowing them to focus on higher-value work.
Human-Centered Digital Experience: Customer relationships and employee engagement are two of the biggest contributors to business success. We help companies design and create seamless, multimodal digital experiences to achieve their goals.
Data & Analytics Implementation: Data is an undeniable key to business success. When leveraged intelligently, it unlocks unique opportunities to tackle present and future challenges.
Cloud & Security: Cloud computing and digital platforms have the potential to revolutionize how data is transformed into value, taking scalability and flexibility to the next level. We ensure that all your data remains protected and confidential.
Transformation & Innovation: To thrive in today’s ecosystem, businesses must not only accelerate their digital transformation but also develop the skills necessary to enhance adaptability, resilience, and competitiveness. We help our clients successfully transform to build a better future.
With over 3,000 employees and a presence in 28 countries across 4 continents, Keyrus is a leading international expert in data, consulting, and technology.
