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Data Engineer role at Mercer in London – build data pipelines, dashboards, and AWS infrastructure.
Join a hybrid team, sharpen SQL, Python, Power BI skills and contribute to cloud data solutions.
Company
Mercer
Description
Mercer is seeking candidates for the following position based in the London office:
Data Engineer
What can you expect?
As a Data Engineer, you will be responsible for supporting the design, development, and maintenance of our data pipelines, data products and infrastructure. You will work closely with senior team members to ensure data is collected, stored, and processed efficiently to meet the needs of our business teams. This role offers an excellent opportunity to grow your technical skills and gain valuable experience in a fast-paced environment.
Key Responsibilities
- Data Pipeline Development: Assist in building and maintaining ETL (Extract, Transform, Load) processes to integrate data from various sources into our Data Lakehouse.
- Data Visualisation: Develop and maintain dashboards and reports using Power BI, providing actionable insights to stakeholders.
- Cloud Services: Support the setup and maintenance of AWS cloud infrastructure, including solutions such as S3, Glue, Lambda, Step Functions.
- Data Quality & Deployment: Monitor and ensure the accuracy, completeness, and reliability of data products through validation using data build tool (dbt).
- Version Control: Knowledge of version control systems, particularly Git, for managing codebase and collaborating with other team members.
- Collaboration: Work closely with data analysts, data scientists, and other cross-functional teams to understand data requirements and deliver optimal solutions.
- Documentation: Create and maintain technical documentation for data workflows, processes, and systems.
SQL
SQL : Demonstrated ability to write complex SQL queries for data extraction, manipulation, and transformation. Experience in data integration tasks, including ETL (Extract, Transform, Load) processes, to consolidate data from multiple sources into a unified format.
Python
Python: Experience with Python programming for data manipulation, analysis, and automation. Understanding of Python's best practices, including code readability, modularity, and documentation.
What you need to have:
- Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Experience: 3-5 years of experience in data engineering or a related field.
- Technical Skills: Proficiency in SQL for data manipulation and querying. Experience with Power BI for data visualisation and dashboard creation. Experience of Python for data processing and scripting. Familiarity with AWS services, such as S3, Glue, Lambda, Step Functions, LakeFormation, CloudWatch and IAM.
- Soft Skills: Excellent problem-solving abilities and attention to detail. Strong communication and interpersonal skills. Ability to work effectively in a team and independently.
What makes you stand out:
- Experience with data warehousing concepts and technologies.
- Knowledge of other BI tools (e.g., Tableau, Looker) and data modelling techniques.
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Familiarity with modern data architecture (e.g., Data Mesh, Fabric).
- An understanding of infrastructure as code (e.g., Terraform)
- Experience with CI/CD pipelines and version control systems like Git.
- Familiarity with Dremio and/or Databricks as a data lake engine.
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being
Marsh (NYSE: MRSH) is a global leader
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
Legal Notice
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@marsh.com.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.