Senior Data Engineer

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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.

The Role:

We are looking for an experienced Senior Data Engineer to join our team here  will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts.

You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability.

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.

Key Responsibilities:

• Develop Data Engineering solutions for our clients/projects
• Design and build data models, schemas to support business requirements
• Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, No
  
  SQL, ETL, Luigi, Airflow, Argo, etc.
• Implement data storage solutions using different types of databases, such as relational, non‑relational, or cloud‑based.
• Work collaboratively with the client and cross‑functional teams to identify and address data‑related issues and opportunities.
• Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc.
• Assist with defining the processes needed to achieve operational excellence
• Ensure data quality across all projects/clients
• Define and manage SLAs for data sets and processes throughout production
• Lead on the design, build and launch of new data models and pipelines

Key Skills/

Experience:

• Experience in operating as part of data engineering teams and independently.
• Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)
• SQL and relational databases (e.g. MS SQL/Azure SQL, Postgre
  
  SQL)
• You have framework experience within either Flask, Tornado or Django, Docker
• Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo
• Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.
• Data acquisition and development of data sets and improving data quality
• Preparing data for predictive and prescriptive modelling
• Hands on coding experience, such as Python
• Reporting tools (e.g. Tableau, Power
  
  BI, Qlik)
• GDPR and…