Senior Data Engineering Consultant
Senior Data Engineering Consultant
We are open to full-time or part-time applicants for this role! Are you returning from maternity leave? We'd love to hear from you!
💸Salary: £67,185 to £77,664 (depending on experience). Up to 15% company performance-based bonus. 
📍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 the People Recruitment Manager ; 2: Technical competency with the Hiring Lead and a Team Member. 
🤝Our Values:  Advancing, Come as you are, Zero burnout, Greta goal, We all level up together and Transparency  
Learn more about us: YouTube, Totally Skewed Podcast & Data Science in Production. Read our Blogs.  
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Who Are We?
Advancing Analytics are a market leader in delivering bleeding edge 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 senior consultant role we expect a good understanding of our core tech stack and the ability to see the end-to-end solution whilst leading a project.
Required Tools and Technologies:
- 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:
- Visualisation Tools – Power BI, Tableau
- Streaming Data – Azure Stream Analytics, Event Hubs, IoT Hubs
- Building parallel systems – Distributed compute engines
- Azure Functions – Python, C#
Skills and Approaches:
- Requirements gathering and client consulting
- Agile project 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 Microsoft Gold Partner, Databricks Partner, AWS and GCP partner, you will have access to the latest tech and training opportunities the industry has to offer. We are aware this is a rapidly changing market and are committed to investing in the long-term goals of our employees. We love being engaged in the wider tech community and frequently present at events, sponsor events such as Big Data London, SQLBits and even organise the Global AI Bootcamp London.
We encourage our team to get involved in the community, whether that’s in the form of a personal blog or an initiative you are passionate about advocating, we will support you!
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 schemes
- Health & Wellbeing fund
- 25 Days Annual Leave, Birthday Leave & Charity Leave
- Frequent away days with the team
- Annual Bonus Scheme (company performance based, up to 15%)
- Flexible Working Hours
- Electric Car Scheme
Our company values define us:
- Advancing – the projects that get us all out of bed are challenging and push the limits of what is currently possible. We work on the bleeding edge and challenge the analytical industry daily.  
- 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 – too often technology teams are worked too hard or stretched too thin. We have seen it happen and we never want to be a company that pushes our staff to breaking point.  
- Greta Goal – we only have one planet, let’s look after it.  🌎
- We all level up together – we have each seen the benefit that being part of a developer community can have, it is transformational. We invest in our communities, you will find us organising meetups, conferences, and events. When we are not organising, we are helping, speaking, mentoring, or sponsoring.  🔼
- 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 Senior Data Engineering Consultant role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.
- Department
- Data Engineering
- Role
- Senior Data Engineering Consultant
- Locations
- United Kingdom
- Remote status
- Fully Remote
- Yearly salary
- ÂŁ67,185 - ÂŁ77,664
- Employment type
- Full-time
About Advancing Analytics
Advancing Analytics is a pioneering Big Data & AI consultancy. Specialists in Microsoft and Databricks technologies, we are particularly known for advancing the Lakehouse architecture and blending Traditional Analytics with Machine Learning & AI.
Senior Data Engineering Consultant
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