Data Engineer

Salary: £30,000 - 70,000 per year

Requirements:

• Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.
• 3-5 years of experience in data engineering or a related field.
• Proficiency in SQL for data manipulation and querying.
• Experience with Power BI for data visualisation and dashboard creation.
• Experience with Python for data processing and scripting.
• Familiarity with AWS services such as S3, Glue, Lambda, Step Functions, LakeFormation, CloudWatch, and IAM.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and interpersonal skills.
• Ability to work effectively in a team and independently.
• Experience with data warehousing concepts and technologies.
• Knowledge of other BI tools such as Tableau or Looker and data modelling techniques.
• Familiarity with big data technologies such as Hadoop or Spark.
• Familiarity with modern data architecture such as Data Mesh or Fabric.
• Understanding of infrastructure as code such as Terraform.
• Experience with CI/CD pipelines and version control systems like Git.
• Familiarity with Dremio and/or Databricks as a data lake engine.

Responsibilities:

• Support the design, development, and maintenance of our data pipelines, data products, and infrastructure.
• Work closely with senior team members to ensure data is collected, stored, and processed efficiently to meet business needs.
• Assist in building and maintaining ETL processes to integrate data from various sources into our Data Lakehouse.
• Develop and maintain dashboards and reports using Power BI to provide actionable insights to stakeholders.
• Support the setup and maintenance of AWS cloud infrastructure, including S3, Glue, Lambda, and Step Functions.
• Monitor and ensure the accuracy, completeness, and reliability of data products through validation using dbt.
• Use Git for managing the codebase and collaborating with other team members.
• Work closely with data analysts, data scientists, and other cross-functional teams to understand data requirements and deliver optimal solutions.
• Create and maintain technical documentation for data workflows, processes, and systems.
• Write complex SQL queries for data extraction, manipulation, and transformation.
• Use Python for data manipulation, analysis, and automation.

Technologies:

• AWS
• Lambda
• Big Data
• CI/CD
• Cloud
• CloudWatch
• Databricks
• ETL
• Fabric
• Git
• Hadoop
• IAM
• Support
• Looker
• Power BI
• Python
• SQL
• Spark
• Tableau
• Terraform
• dbt

More:

Mercer, part of Marsh McLennan, is seeking a Data Engineer for our London office at Tower Place West, London, EC3R 5BU. We offer the opportunity to grow your technical skills and gain valuable experience in a fast-paced environment. You will join a vibrant and inclusive culture with talented colleagues, supportive leaders, professional development opportunities, and interesting work with the chance to make an impact for colleagues, clients, and communities. Our scale provides a range of career opportunities, benefits, and rewards to support your well-being. We are committed to hybrid work, with flexibility to work remotely while collaborating in the office at least three days per week, and office-based teams will have at least one anchor day together in person. We are an equal opportunities employer committed to diversity, inclusion, and reasonable adjustments in the recruitment process.

last updated 36 week of 2026