DATA ENGINEER

Successfactors; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Reply is seeking a Data Engineer to design, develop, and implement data solutions using Azure services such as Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.

You will collaborate with clients and internal teams to understand requirements, troubleshoot data issues, and deliver robust, scalable analytics solutions while mentoring junior engineers and contributing to team growth.

Qualifications

• Experience in data engineering with Microsoft Azure.
• Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
• Strong Python, Scala, or SQL development background.
• Understanding of data modelling and analytics solutions.
• Ability to work in a customer-facing role, engaging effectively with clients and stakeholders.
• Self-sufficient, with excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory and Databricks.
• Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage.
• Collaborate with clients to understand their data needs and provide tailored solutions.
• Develop and optimise ETL/ELT processes to maintain data integrity and performance.
• Ensure data solutions are scalable, resilient, and secure.
• Troubleshoot and resolve data-related issues efficiently.
• Document technical solutions and best practices.
• Mentor junior engineers and contribute to team development.

Skills

Azure Data Factory

Azure Databricks

Synapse Analytics

Data Lake Storage

Python

Scala

SQL

Customer-facing communication

Tools

Logic Apps

Snowflake

BigQuery

Redshift

Terraform

Bicep

PowerShell

CI/CD pipelines

Job description

Requisition ID11467-Posted10/07/2026- Years of Experience (3) -Consulting- Where (1)

Replyspecialisesin designing and implementing solutions based on new communication channels and digital media. Structured as a network of highlyspecialisedcompanies, 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’sservices include Consulting, System Integration, and Digital Services.

Role Overview:

As a Data Engineer, you will design, develop, and implement data solutions using cloud-based services, focusing on Microsoft Azure technologies such as Azure Data Factory, Azure Databricks, Synapse Analytics, and Data Lake Storage. You will collaborate with clients and internal teams to understand business requirements, troubleshoot data issues, and deliver robust solutions that enhance data accessibility and analytics.

You will also have the opportunity to mentor junior engineers and contribute to the long-term growth of the team. Career progression towards technical architecture and leadership roles is encouraged.

While prior experience with integration tools like Logic Apps is advantageous, it is not required. A background in Python, Scala, or SQL development is preferred.

This is a customer-facing role, so strong communication skills, problem-solving abilities, and a proactive approach are essential. You should be able to work independently while collaborating effectively with colleagues and clients.

Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory and Databricks.
• Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage.
• Collaborate with clients to understand their data needs and provide tailored solutions.
• Develop and optimise ETL/ELT processes to maintain data integrity and performance.
• Ensure data solutions are scalable, resilient, and secure.
• Troubleshoot and resolve data-related issues efficiently.
• Document technical solutions and best practices.
• Mentor junior engineers and contribute to team development.

About the Candidate:

• Experience in data engineering with Microsoft Azure.
• Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
• Strong Python, Scala, or SQL development background.
• Understanding of data modelling and analytics solutions.
• Ability to work in a customer-facing role, engaging effectively with clients and stakeholders.
• Self-sufficient, with excellent problem-solving and communication skills.

Advantageous :

• Experience with Logic Apps and integration tools.
• Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift).
• Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform).
• Exposure to machine learning and AI solutions.
• Understanding PowerShell and Azure.

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, skincolour, 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.