Data Engineer

Tenth Revolution Group
London, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£50,000.0 - £60,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Database Data Architecture Information Engineering Extract Transform Load (ETL) Data Transformation Data Systems Data Warehousing Python (Programming Language) SQL Databases
+3 more
Systems Integration Sql Optimization Snowflake

Job description

We are working with a fast-growing consultancy that is investing heavily in its data practice and looking for a Snowflake Data Engineer to join a team delivering high-impact transformation projects for a range of enterprise clients.

This is an opportunity to work on more than just BAU data engineering. You will help organisations modernise their data estates, design scalable Snowflake solutions and support cutting-edge analytics and AI initiatives. With exposure to a variety of industries and projects, you will continuously develop your technical expertise while working alongside experienced data professionals.

If you enjoy designing robust data solutions, working directly with stakeholders and seeing the tangible business impact of your work, this could be the perfect next step.

Key Responsibilities

  • Designing and building scalable Snowflake-based data solutions.
  • Developing ETL pipelines using SQL and Python.
  • Creating efficient data models that support reporting, analytics and business intelligence.
  • Delivering end-to-end data transformation projects for enterprise clients.
  • Supporting cloud data platform migrations, integrations and modernisation initiatives.
  • Collaborating closely with clients, architects and project teams to solve complex data challenges., Whether you are already a Snowflake specialist or looking to deepen your expertise in one of the fastest-growing areas of the data market, this role offers the opportunity to accelerate your career while working on genuinely exciting projects.

Requirements

  • Experience working as a Data Engineer within a cloud data environment.
  • Strong hands-on expertise with Snowflake.
  • Advanced SQL and Python development skills.
  • Experience building and maintaining ETL pipelines.
  • Knowledge of AWS, Azure or GCP.
  • Understanding of data modelling, data warehousing and modern data architectures., * Data Engineering

Benefits & conditions

  • Up to £60,000 salary.
  • Hybrid working model
  • Performance related bonus schemes
  • Private medical insurance
  • 25 days holiday (plus bank holidays)
  • Up to 8% matched pension contributions
  • Full range of flexible benefits including additional medical insurance, travel insurance and other corporate discounts

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