Data Engineer

Mirai Talent; Hitchin; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading consultancy is seeking a Data Engineer to work on client-facing projects and contribute to operational strategies in a start-up environment. The ideal candidate will have experience in cloud tools and machine learning, with a strong ability to analyze business problems and develop solutions. This role offers great potential for career advancement and includes a performance-based cash bonus and the opportunity for equity.

Benefits

Performance based cash bonus up to £20k

Opportunity for future equity

Pathway from consultant to senior consultant

Hybrid working model

Qualifications

• Exceptional business acumen and commercial awareness.
• Strong analytical skills for end-to-end problem solving.
• Ability to work in fast-paced team environments.

Responsibilities

• Developing Machine Learning models in Python or R.
• Building data pipelines on cloud platforms.
• Supporting strategic business decisions with analysis.

Skills

Analytical Skills

Business Acumen

Collaboration

Entrepreneurial Mindset

Tools

Tableau

Python

R

SQL

Azure Data Factory

dbt

Job description

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Private Equity experience & ARR project experience is extremely desirable!

We are on the lookout for a superstar Data Engineer for a start-up scale-up consultancy who are on a mission to change the narrative! You will work on client-facing projects as well as take an active role in the strategic and operational side of our clients business.

What you’ll be doing:

• Supporting the development of hypotheses for “the answer” and defining tests to validate or disprove these.
• Leading project “workstreams”, being responsible for the delivery of the work within those work packages and ensuring these fit in with the wider project context.
• Undertaking exploratory analysis in Tableau (or other preferred analytics tool) to develop the burden of proof for hypotheses.
• Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc. Supporting the deployment of proofs of concepts of aforementioned Machine Learning models in the client’s technical and business architecture (e.g. Azure, Snowflake, etc.).
• Building data pipelines in cloud platforms. Leveraging tools like dbt, SQL, Python, Azure Data Factory to build reusable data assets for clients
• Acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions.
• Collaborating with client teams to ensure successful delivery of projects, which can include helping ensure access to data, setting up collaboration processes, etc.

What else you can expect:

• IP development: Defining and iterating our service portfolio, methodologies, etc.
• Strategy: Helping define our mid-long-term strategy and tracking of actions against this.
• Business Development: Supporting our GTM efforts, helping win clients and sell projects.

You’ll thrive if you have:

• Exceptional business acumen and “commercial knack”: Having a good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.
• Strong analytical profile: An ability to dissect business problems through analysis end-to-end, i.e. to define an approach, execute it, and critically analyse its results. A general ability to work with numbers and data.
• Collaboration and team work: An ability to work in small, fast-paced teams – being able to understand one’s role within the project structure, deliver against it, and be flexible when needed.
• An entrepreneurial mindset: The company are an early stage startup and as such is suited to someone with an entrepreneurial mindset. This means having the ability to be flexible, proactive, and to get things done – even if these are not things you have done before, or even know how to!

What’s in it for you:

• Excellent pathway from consultant to senior consultant, either through a commercial or technical track.
• Hybrid working – Typically 3 office days/week. Flexibility for short periods of remote work.
• Performance based cash bonus up to £20k
• Opportunity for future equity in the business depending on progression