Data Engineer

Job summary

COMPANY: Mer*** DESCRIPTION: Mer*** 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.

Benefits

Qualifications

• and deliver optimal solutions.
• Documentation: Create and maintain technical documentation for data workflows, processes, and systems.
• 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: 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

Responsibilities

• 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.
• 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
• 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.
• MARSH IS COMMITTED TO HYBRID WORK, WHICH INCLUDES THE FLEXIBILITY OF WORKING REMOTELY AND THE COLLABORATION, CONNECTIONS AND PROFESSIONAL DEVELOPMENT

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