About Us:
Solirius Reply , part of the Reply Group , is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery.
We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact.
Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors.
Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.
We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact.
About You:
You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes.
The Role:
We are seeking an experienced Python Developer with significant data engineering experience to join a high-performing engineering team working on secure, data-intensive systems.
The successful candidate will have a strong background in Python software development, data engineering and data processing, with experience designing, building and maintaining robust data pipelines and services within complex technical environments.
Key Responsibilities:
• Design, develop and maintain high-quality Python applications, services and data processing solutions.
• Build and optimise scalable ETL/ELT pipelines for the ingestion, transformation and delivery of structured and unstructured data.
• Develop robust data processing workflows using Python and modern data engineering technologies.
• Work with large and complex datasets, ensuring data quality, integrity, availability and performance.
• Integrate data from multiple sources, including APIs, databases, files and streaming systems.
• Develop reusable, well-tested and maintainable software components following modern engineering practices.
• Design and implement automated testing, monitoring, logging and error-handling mechanisms.
• Collaborate with data engineers, software engineers, architects and other technical stakeholders to deliver end-to-end data solutions.
• Contribute to the design and evolution of data platforms, pipelines and supporting infrastructure.
• Identify opportunities to improve system performance, scalability, reliability and automation.
• Participate in code reviews and contribute to engineering standards and best practices.
• Work within secure development environments and adhere to relevant security, governance and compliance requirements.
• Produce clear technical documentation and contribute to architectural and engineering decisions.
Skills & Experience:
• Significant commercial experience developing Python applications and services.
• Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines.
• Proven experience working with SQL, relational databases and large datasets.
• Experience with data processing technologies such as PySpark, Spark or Pandas.
• Strong understanding of data quality, transformation and integration.
• Experience with Git, CI/CD and automated testing.
• Comfortable working in Linux and secure development environments.
• Experience delivering production-grade solutions within complex technical environments.
• Active UK Security Clearance (SC/DV) is mandatory for this role.