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Principal Data Engineering Consultant

Role overview

Qualifications

  • Solid understanding of core tech stack
  • Experience with Microsoft Azure and cloud computing concepts
  • Python programming skills
  • Knowledge of SQL and writing complex queries

Responsibilities

  • Developing solutions using Apache Spark and Databricks
  • Using Azure Data Factory for cloud orchestration
  • Implementing data governance tools like Unity Catalog and Purview
  • Performing requirements gathering and client consulting

Key facts

Hard skills

Other skills

  • Consulting
  • Collaboration

About the company

Advancing Analytics logo

Advancing Analytics

Computer Software / SaaS

Advancing Analytics is a multi-award-winning data consultancy specialising in modern, scalable Data and AI platforms. Founded in 2018, we have grown into a team of specialists delivering across the UK, US and EMEA, combining strong architecture with real-world delivery. Our Databricks partnership sits at the heart of what we do. As a Databricks Gold Brickbuilder consultancy, we bring proven engineering standards across the Lakehouse, machine learning and Generative AI. We are home to two Databricks MVPs and over 70 Databricks certified engineers, including 11 Databricks Partner Champions. Clients choose us for dependable delivery and teams that are easy to work with. Our partnerships with Microsoft, AWS, Sigma and Tabular Editor underpin how we design and build secure, governed Data & AI. As a recognised Microsoft partner, we hold three Advanced Specialisations in Analytics, AI and Machine Learning, and Build and Modernise AI Apps - and we are home to six Microsoft MVPs. Most of our work with Microsoft involves Azure Databricks, and we also compliment that with our expertise on Microsoft's AI Foundry platform, focusing on safe adoption and measurable outcomes - as well as supporting our clients who are using Power BI or other parts of the Microsoft Fabric platform to integrate with Databricks. The strength of our partnership with Microsoft gives us access to the product team to provide feedback on their Data & AI Platform - and crucially for our clients gives access to exclusive funding programmes to support POCs and implementations on the Azure platform. We focus on outcomes, not hype. We train your teams, co-deliver, and leave robust solutions that perform. Our community presence reflects our values, from our YouTube channel to local tech meetups across the UK and regular speaking slots at international Data and AI conferences. If you want a partner who blends strategic thought with hands-on excellence and keeps things straightforward, we are here to help.

Company details

Company typeSME
IndustryComputer Software / SaaS
Company size51 - 200

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Job description

Principal Data Engineering Consultant

💸Salary: £90,000 to £110,000 per annum (depending on experience)

📍Location: Remote – must be based within the UK. Occasional visits to see customers and the team.    

🧠Interview process: Two rounds. 1: Get to know you chat with one of the Talent Team; 2: Technical competency with the Hiring Lead and a Team Member. 

🤝Our Values:  Advancing, Come as you are, Zero burnout, We all level up together and Transparency  

Learn more about us: YouTube, Totally Skewed Podcast & Data Science in Production. Read our Blogs. 

_________________________

Who Are We?

Advancing Analytics are a market leader in delivering pioneering analytical solutions for customers all over the world. To thrive in today's market, businesses need to implement AI built on a solid, reliable Data Platform, and we are looking for you to help us build it!  

Who are we looking for?

Dedicated individuals who blend technical passion with the honesty and empathy needed for client consulting. People who love data and strongly believe in sharing knowledge, skills and wisdom both internally and with the wider data community. Someone who thrives in an agile environment, balancing their technical prowess with the pragmatic needs of the project.

For the Principal Consultant role, we expect a solid understanding of our core tech stack with the ability to see the end-to-end solution across multiple concurrent projects.

Key Responsibilities:

  • Microsoft Azure and cloud computing concepts

  • Apache Spark – Databricks, Microsoft Fabric or another Spark engine

  • Python – we build most of our solutions in Python

  • SQL – writing complex high-performance queries, understanding how queries execute on different compute technologies

  • Azure Data Factory or other cloud orchestration tools

  • Azure Data Lake storage and Delta Lake

  • Unity Catalog, Purview or other Data Governance tools

  • IAC tool such as Terraform, Azure DevOps

Other technology we like, but isn’t essential:

  • Streaming Data – Azure Stream Analytics, Event Hubs, IoT Hubs

  • Building parallel systems – Distributed compute engines

  • Azure Functions – Python, C#

Skills / Approaches:

  • Requirements gathering and client consulting

  • Agile project management including budget and scope management

  • Understanding of OO Development Practices

  • ETL Approaches – Data Quality, Resilience, Observability

  • Understanding of CI/CD Methodologies and SDLC

What will it be like to work for Advancing Analytics?

We are a small company and encourage everyone to have a voice within our collaborative and inclusive team from day one.  

As a consultancy with strong partnerships across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs, you’ll get hands-on access to some of the most exciting technology and learning opportunities in the industry. We know this market moves quickly, so we invest in our people for the long term, giving you the space to build real expertise, keep developing, and stay ahead of what’s next.

We’re also genuinely active in the wider data and AI community. That means speaking at events, sponsoring major industry moments like Big Data London, and showing up at some of the biggest stages in the space, including Databricks Data+AI Summit, Data+AI World Tour, and the Global AI AgentCon London.   

Aside from offering a competitive salary, we have a great set of benefits and perks including, but not limited to:

  • Industry matching Maternity & Paternity policy 🐣

  • Private Medical & Dental Care plus Eye care scheme 👁️

  • Health & Wellbeing supplement

  • 25 Days Annual Leave, Birthday Leave & Charity Leave 🌴

  • Away days with the team 🚃

  • Discretionary Annual Bonus Scheme

  • Flexible Working Hours

  • Electric Car Scheme 🚗

  • Databricks Champion Status Bonus! 🌟

Our company values define us:

🚀 Advancing – Being part of a team that drives innovation and pushing boundaries of what’s possible. Our work redefines industry standards and challenges the status quo in the data world every day.

❤️ Come as you are – we are an inclusive company. When you work with us, rest assured you're working in a safe environment.

❌ Zero burnout – We have seen it happen, and we never want to be a company that pushes our staff to breaking point.

⬆️ We all level up together – we have each seen the benefit that being part of a community can have, it is transformational.

💡 Transparency – We are big believers that there are no secrets in Advancing Analytics, and we try to live this day to day.

You can read about our values in more detail here - https://www.advancinganalytics.co.uk/values

Equal opportunities for everyone

At Advancing Analytics both diversity and inclusion are a priority. We are all committed to creating an inclusive environment where everyone feels valued, respected and empowered to be their authentic selves.

We are proud to be an equal opportunity employer; all applicants will be considered without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity or disability status.

This role profile is intended to provide an overview of the responsibilities and qualifications required for the Principal Data Engineering Consultant role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.

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Marcus Rivera

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