At a Glance
- Tasks: Lead innovative data engineering projects and collaborate with clients to deliver cutting-edge solutions.
- Company: Join Advancing Analytics, a leader in pioneering analytical solutions with a collaborative culture.
- Benefits: Enjoy competitive salary, flexible hours, private healthcare, and generous leave policies.
- Other info: Be part of a diverse team that values transparency and promotes work-life balance.
- Why this job: Make a real impact in the data world while working with the latest technologies.
- Qualifications: Strong understanding of data engineering tools and client consulting experience required.
The predicted salary is between 90000 - 110000 £ per year.
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 the People Recruitment Manager; 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, Transparency
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
- 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 / 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 Microsoft Specialised Partner, Databricks Elite Partner, and AWS 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 organise leading community events including Databricks and Microsoft Data & AI meetups around the UK, and the Global AI Bootcamp London.
Apart 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
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.
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.
Principal Data Engineering Consultant in London employer: Advancing Analytics
At Advancing Analytics, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. With a commitment to employee growth through access to cutting-edge technology and training opportunities, we ensure our team members thrive in a supportive environment that values transparency and innovation. Our flexible working hours, generous leave policies, and focus on wellbeing make us an attractive choice for those seeking meaningful and rewarding employment in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineering Consultant in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Advancing Analytics.
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We think you need these skills to ace Principal Data Engineering Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Advancing Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Advancing Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Advancing Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Advancing Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
