Senior Data Engineer

Butterfly Projects Ltd
Manchester
1 day ago
Create job alert

Manchester, United Kingdom | Posted on 10/11/2025


Butterfly Data is looking to hire motivated and talented data engineers to join our consulting team. This role would either be a Senior Data Consultant or Principal Data Consultant depending on experience and ability. This is an exciting opportunity to work with a range of clients, making a tangible impact and to join a growing small dynamic consultancy.


The Role

  • You will undertake a variety of client projects, providing technical solutions for a broad range of data challenges, helping organisations put data behind every decision.
  • You will design and build complex systems and data pipelines that deliver effective solutions for clients.
  • You will be responsible for engaging with and managing a range of technical and business stakeholders, to understand their requirements and perspectives.

Requirements

The Candidate



  • You should be inquisitive and logical with the ability to overcome and solve complex problems.
  • You need to be self‑motivated, organized, thorough and professional.
  • You should be someone who is constantly learning and staying aware of new trends in the industry.
  • You must be confident and able to communicate effectively with a range of stakeholders.
  • You should be able to work independently, take responsibility and use your initiative.
  • Ideally will be based in our Manchester office or alternatively based remotely, but in commutable distance of client sites in the North West of England – though ability to travel elsewhere in the UK occasionally is also a requirement for the role.
  • Have lived in the UK for 5+ years as this is an essential requirement for obtaining UK Security Clearance via UK Security Vetting.
  • Fluent English, UK resident for a minimum of 5 years, with the right to work in the UK.
  • A numerate or technical degree, or NVQ Level 4; or relevant experience.
  • Knowledge of DevOps processes.
  • Experience of working in secure/highly‑regulated environments.
  • Ability to write high quality technical documentation.
  • Experience with cloud computing platforms (ideally Azure).
  • Excellent people, stakeholder, and communication skills.
  • 3+ years experience in data engineering, but more experience expected if hoping to join at a Principal Consultant level.
  • Experience migrating and converting solutions between platforms.
  • Experience with SAS tools and/or SAS administration.
  • Familiarity with information security standards, policies and procedures.
  • Familiarity with Agile Development and Deployment (Scrum, SAFe, etc.).

Inclusivity

Being a Disability Confident Employer shows our commitment in supporting our employees further.


Providing reasonable adjustments where necessary.


If you require this document in an alternative format, please contact us, and we will be happy to assist you.


Interview Process

  • The 1st round will be remote, and then we expect one or both of the 2nd and 3rd rounds to be in‑person.
  • Screening Interview with our HR team to understand if you’d be suitable for the role.
  • 2nd Round Interview with two members of our consultancy team to understand your technical skills and experience.
  • Final Round interview with a senior member of the team, where you will be asked to deliver a presentation explaining a project you have been involved with.

Benefits Package

  • Competitive salary – Between £40,000 – £55,000 depending on experience.
  • Annual discretionary employment bonus, based on the company performance for the previous year.
  • As an employee‑owned company, we also pay an ownership bonus where a proportion of the year’s profits are paid to the staff.
  • 10% employer pension contribution without any requirement to match.
  • 25 days annual leave (plus Bank Holidays) with the option to buy additional leave.
  • Generous training and personal development allowances.
  • Flexible working arrangements.
  • Private family health insurance, with additional Mental Health & Dental cover.
  • Enhanced family (maternity, paternity & adoption) leave.
  • MOD Reservist / Volunteering support Policy in place.

About Us

  • Butterfly Data is a SME with a diverse team of experienced technology consultants across the UK, specialising in data science and data management.
  • We have a proven track record in helping our clients understand their data, to allow them to gain maximum value from it in an efficient and effective manner.
  • We help organisations achieve data‑driven results, through digital transformation using cloud services.

Mission Statement

  • As an employee‑owned business, we are fostering a culture of empowerment, inclusivity, accountability, and are operating the company for the long‑term benefit of its employees. We’re dedicated to harnessing the true potential of data.
  • Our mission is to lead the way in ethical and sustainable data analytics, educating organisations on the benefits of having: ‘Data Behind Every Decision’.

Vision

  • Our vision is to be data evangelists and problem solvers that create value for our clients, applying the right data solution for your team.
  • As a B‑Corp certified company we prioritise the well‑being of society and the environment and encourage our clients to become more sustainable and socially responsible businesses.
  • Our ambition is to build relationships which position us as the ‘go to’ SME that you can trust and rely upon to support your data‑led initiatives.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

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

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.