Remote Data Engineer: Cloud Pipelines & GenAI Innovation

Talent Sure Recruitment Limited; Greater London; On-site; GBP 40,000 - 80,000; Full time

Benefits offered by this job

Hybrid working options

Generous annual leave

Health & wellbeing support

Pension plan

Parental leave

Job summary

Talent Sure Recruitment Limited seeks a Data Engineer to design and build modern data products on a cloud data platform. You will join a collaborative team of data engineers, scientists and architects working on analytics and product improvements across the business.

Expect a modern tech stack, emphasis on data quality, governance and scalable pipelines, with opportunities for growth in AI and GenAI alongside a supportive, award-winning employer.

Qualifications

• Proven Python skills with PySpark/Spark.
• Strong SQL and end-to-end data modelling experience.
• Experience building data pipelines in cloud platforms.
• Hands-on CI/CD with Git/Jenkins and IaC tooling.
• Familiarity with Databricks or Snowflake on AWS.
• Exposure to Docker/Kubernetes; GenAI is a bonus.

Responsibilities

• Data Product Development on a cloud data platform.
• Collaborate with engineers, scientists and product teams.
• Develop and optimize scalable data pipelines.
• Integrate large, diverse datasets with governance.
• Maintain data platform orchestration and monitoring.
• Promote engineering best practices across the team.
• Experiment with ML/GenAI to drive value.
• Partner with data architects on high-level design.
• Work within agile squads.
• Support ML infrastructure and end-to-end workflows.

Skills

Python

PySpark

Spark

SQL

Data Modelling

Data Integration

Collaboration

Communication

Generative AI exposure

Tools

Databricks

Snowflake

AWS

Git

Jenkins

Terraform

Airflow

Docker

Kubernetes

Job description

Talent Sure Recruitment Limited seeks a Data Engineer to design and build modern data products on a cloud data platform. You will join a collaborative team of data engineers, scientists and architects working on analytics and product improvements across the business.

Expect a modern tech stack, emphasis on data quality, governance and scalable pipelines, with opportunities for growth in AI and GenAI alongside a supportive, award-winning employer.