Python Developer with Data experience

Solirius Reply; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private healthcare

Bonus

Flexible working

Pension

Gym membership

Cycle to work

EV schemes

Annual leave

Diversity & inclusion

Job summary

Solirius Reply in London seeks an experienced Python Developer with strong data engineering skills to join a high-performing engineering team working on secure, data-intensive systems. You will design, develop and maintain Python applications, and build scalable ETL/ELT pipelines across complex data environments.

You will work with large datasets, ensure data quality and performance, and collaborate with engineers, architects and stakeholders to deliver end-to-end data solutions.

Qualifications

• Significant commercial experience developing Python applications and services.
• Strong data engineering background with scalable ETL/ELT pipelines.
• Proven SQL experience with relational databases and large datasets.
• UK Security Clearance (SC/DV) is mandatory for the role.

Responsibilities

• Design, develop and maintain Python applications, services and data processing solutions.
• Build and optimise scalable ETL/ELT pipelines for structured/unstructured data.
• Develop robust data processing workflows using Python and modern tools.
• Work with large datasets ensuring data quality, integrity and performance.
• Integrate data from APIs, databases, files and streaming systems.
• Create reusable, well-tested software components and maintainable code.
• Implement automated testing, monitoring, logging and error handling.
• Collaborate with data engineers, software engineers and architects to deliver data solutions.
• Contribute to data platforms, pipelines and supporting infra design.
• Identify opportunities to improve system performance and scalability.

Skills

Python development

Data engineering

SQL databases

Git & CI/CD

Linux

Security clearance UK SC/DV

Tools

PySpark

Spark

Pandas

Git

CI/CD

Job description

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.

Package and Benefits

• Competitive Salary
• Bonus Scheme
• Private Healthcare Insurance
• 25 Days Annual Leave + Bank Holidays
• Up to 10 days allocated for development training per year
• Enhanced Parental Leave
• Paid Fertility Leave (5 Days)
• Statutory & Contributory Pension
• EAP with Help@Hand
• Gym Membership Benefits
• Cycle to Work and Electric Vehicle schemes
• Flexible Working
• Annual Away Days/Company Socials
• Diversity and Inclusion
• As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all indi