Data Engineer | Hybrid, Data Pipelines & ML

Royal London; Alderley Edge; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

Royal London is seeking a Data Engineer to join its Analytics Engineering Team within the Group Data & AI Office. The role focuses on building data pipelines and data assets to enable analytics, data science and machine learning initiatives across the organisation.

You will support the Senior Data Engineer, maintain data engineering best practices, and collaborate with stakeholders across business and technology to deliver robust data solutions. This is a hybrid role with 50% home working.

Qualifications

• Experience in data engineering and data management patterns such as data lakes and data warehouses.
• Proficient in SQL, Python and PySpark.
• Experience with GitHub and Azure DevOps.
• Experience with cloud-based data/analytics platforms (Databricks, Snowflake or Azure Data Factory).
• Proven ability to work on cross-functional projects and manage stakeholders.
• Knowledge of BI tools like PowerBI and Tableau.
• Strong MS SQL Server skills (T-SQL, SSIS).
• Understanding of analytics/data science tech and software engineering principles.

Responsibilities

• Source and prepare data for BI, analytics and data science projects.
• Design and develop data pipelines across on-prem and cloud platforms.
• Prototype solutions to test business hypotheses iteratively.
• Productionise pipelines with CI/CD for analytics teams.
• Maintain knowledge of data engineering and ML engineering practices.
• Collaborate with business, technology and external partners.
• Ensure robust software engineering practices within the team.

Skills

Data engineering

SQL

Python

PySpark

GitHub

Azure DevOps

Databricks

Snowflake

Azure Data Factory

BI tools

PowerBI

Tableau

R

T-SQL

SSIS

Stakeholder mgmt

Education

Bachelor's degree in a relevant field

Tools

GitHub

Azure DevOps

Databricks

Snowflake

Azure Data Factory

PowerBI

Tableau

R

T-SQL

SSIS

Job description

Royal London is seeking a Data Engineer to join its Analytics Engineering Team within the Group Data & AI Office. The role focuses on building data pipelines and data assets to enable analytics, data science and machine learning initiatives across the organisation.

You will support the Senior Data Engineer, maintain data engineering best practices, and collaborate with stakeholders across business and technology to deliver robust data solutions. This is a hybrid role with 50% home working.