Data Engineer

Solirius Reply
London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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 looking for an experienced Senior Data Engineer to join our team here at Solirius. You 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.

Requirements

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, NoSQL, ETL, Luigi, Airflow, Argo, etc.
  • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.
  • Working 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 SLA’s 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.
  • Line/Team management experience, leadership experience
  • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)
  • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)
  • 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, PowerBI, Qlik)
  • GDPR and Government Service Standard (desirable)
  • Passionate, motivated and enthusiastic about developing technology solutions.
  • Experience working in an Agile development environment
  • Data architecture experience.

Benefits

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
  • Flexible Working
  • Annual Away Days/Company Socials

Equality & Diversity:
Solirius Consulting 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.