Senior Data Engineer; Snowflake

We’re on a mission to close the world’s tech skills gap.

We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster.

Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology.

That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers.

Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.

We are seeking an experienced Lead / Senior Data Engineer. In this role, you will take hands-on ownership of architecting, building, and deploying modern data pipelines in Snowflake, dbt and Dagster

You will lead the designing of scalable data models and machine learning models

• Pipeline & Architecture Ownership:
  Design and implement automated, modular transformation pipelines in a modern cloud data warehouse, following a clean, tiered physical data architecture (from raw ingestion to governed marts).
• Experience with machine learning models - Needs experience with ML development life cycle within Snowflake (Martech experience highly desirable)
• Governance & Security:
  Implement enterprise-grade data security standards, including automated quality testing, role-based access control (RBAC), and dynamic data masking for sensitive customer information (PII).
• Technical Leadership:
  Guide engineering best practices across CI/CD, version control, and automated orchestration, collaborating closely with product managers, analytics leads, and platform architects.

• Cloud Data Platforms:
  Proven expertise in architecting and operating data solutions within enterprise cloud data warehouses (e.g., modern columnar cloud platforms).
• Transformation & Orchestration:
  Advanced SQL and Python engineering skills with deep experience in modern data transformation frameworks and workflow DAG orchestrators.
• Complex Data Modeling(dbt):
  Demonstrated track record modeling in dbt
• Data Quality & Governance:
  Hands-on experience establishing automated unit/integration test suites, lineage tracking, and role-based privacy controls.
• Agile Delivery:
  Experience working in fast-paced sprint cadences, breaking down complex epics into clear, shippable increments.

We’re building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way.

Our model is designed to build belonging and connection: we’re organised into regional ‘Clubs’ of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole.

Our Practice Areas act as a ‘second home’ for our ANDis - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy.

Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves.