Data Engineer (Security Cleared)

About Us:

Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs.

It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future.

We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose.

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. You understand and align with Solirius Reply Values.

The Role:

We are seeking an experienced SC Cleared Data Engineer to design, build, and maintain secure, scalable data platforms and pipelines within a high-security environment. The successful candidate will work closely with data architects, analysts, software engineers, and stakeholders to deliver robust data solutions that support operational and strategic objectives.

This role requires active Security Check (SC) clearance

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources.
• Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies.
• Develop and optimise data models, warehouses, and lakehouse architectures.
• Implement data quality, validation, governance, and security controls.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimise data workflows and platform performance.
• Support CI/CD practices and infrastructure automation for data platforms.
• Produce technical documentation, architecture diagrams, and operational runbooks.
• Ensure compliance with security policies, governance standards, and best practices within secure environments.
• Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives.

Required Skills & Experience

• Active SC Clearance or eligibility to obtain SC clearance.
• Strong experience as a Data Engineer in enterprise or government environments.
• Proficiency in SQL and Python for data engineering tasks.
• Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP)
• Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems
• Experience designing and maintaining data warehouses and data lakes.
• Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform).
• Strong understanding of data governance, security, and compliance.
• Experience working within Agile delivery teams.

Desirable Skills

• Experience in public sector, defence, or regulated industries.
• Knowledge of data mesh or modern data architecture principles.
• Experience with containerisation technologies such as Docker and Kubernetes.
• Familiarity with machine learning pipelines and MLOps.
• Certifications in cloud platforms or data engineering technologies.

What We Offer:

• 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
• Flexible Working
• Annual Away Days/Company Socials

Equality & Diversity:

Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics.

Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.