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# Data Engineer

- **Company:** Reply Ltd
- **Location:** London, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Information Engineering, Data Files, Extract Transform Load (ETL), Data Warehousing, JSON, Python (Programming Language), NumPy, SQL Databases, Systems Integration, AWS Cdk, Cloud Platform System, Pandas, Information Technology, Virtual Agents, Terraform, Databricks
- **Published:** August 17, 2026
- **Apply:** https://www.efinancialcareers.com/jobs-United_Kingdom-London-Data_Engineer.id24227735

## About the Role

structured career progression, and opportunities to work with leading brands in a vibrant, technology-driven environment. Responsibilities: As a Data Engineering Consultant, you'll translate functional requirements into technical requirements Design and develop high performing and stable end-to-end big data applications to perform complex processing of batch and real-time massive volumes of data in a multi-tenancy cloud environment You will develop and implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets You'll be involved in all aspects of development - design, development, build, deployment, monitoring and operations Research and experiment with emerging technologies and industry trends with a view to bringing business value through early adoption About the candidate: A minimum Bachelor's degree is required in Computer Science or in a directly related IT discipline At least 1-2 years' experience with handling
big data projects using SQL and Python. ETL/ELT, Data warehousing Concepts You can demonstrate tangible experience using AWS and/or Databricks Excellent communications skills: an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences A passion for technology and a strong interest in pursuing a specialist careers path as a Data Engineer A strong understanding of key Python concepts related to data engineering is needed as a foundation on which to build (e.g. Pandas, numpy, Python file handling, JSON) You possess solid understanding of AWS cloud environments, including S3, LAMBDA, RDS, AWS CDK or Terraform, Dynamo DB Have researched leveraging Agentic AI to stream the data engineering lifecycle Flexibility regarding local business travelling Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and
applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

## Description

Data Engineer About Reply: Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply's services include Consulting, System Integration, and Digital Services. Role overview: As a Data Engineer joining our Reply team in London, you will design and develop high-performance big data applications, manage complex data sets, and work across the full development lifecycle. You'll work across a variety of projects as a consultant using big data technologies such as SQL, AWS and Databricks to add business value and collaborate with global clients. The role offers extensive training


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