At a Glance
- Tasks: Transform and manage data to help clients unlock their potential.
- Company: Award-winning global data and AI consultancy with ambitious growth plans.
- Benefits: 30 days holiday, flexible working, training opportunities, and free office perks.
- Other info: B Corp certified, promoting diversity and inclusion in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact with data solutions.
- Qualifications: Experience in data engineering, Python, SQL, and data visualisation required.
The predicted salary is between 45000 - 55000 £ per year.
We’re looking for someone who lives, breathes and loves data. We’re looking for someone who can extract, ingest, cleanse, combine, model, wrangle + untangle data for our clients. We’re looking for a super curious, hands‑on data engineering problem-solver who loves a challenge. We help our clients to unlock their data potential so they can achieve their goals faster than ever before – wanna join us?
We’re award‑winning global data + AI consultants + builders. We power our clients’ growth using data + AI. We review, select, set up + support all of their organisation’s data + AI tools. We work with UK and global clients across all sectors. We were born in 2017, we have ambitious growth plans and we’re growing every day. We need your help to grow our business even further.
What you’ll do…
- Set up data platforms, including data warehouses, lakehouses, databases and ETL tools
- Extract, transform & load data from a variety of databases and systems
- Combine, cleanse and run ‘health checks’ on the data
- Transfer & store data in a robust and secure way in line with industry best practice and regulatory requirements
- Refine & ensure accuracy of data interfaces provided by third parties
- Present and communicate processes, insights & findings to colleagues and clients
- Produce answers in days, not months, and work by exploratory analysis and rapid iteration
- Share knowledge with the wider team so that we can improve the way we work with our clients
This is a Bristol-based role with flexible-working and we often work from home.
What we need from you…
- Demonstrable experience from working in data engineering roles.
- Significant experience working with large datasets and multiple data feeds.
- Confident in data ELT/ETL, data cleansing, modelling and data visualisation.
- Experienced working with Azure and the Microsoft stack.
- Confident developer of Python and SQL solutions.
- Significant experience with data warehouse/lakehouse technologies such as Databricks/Fabric/Snowflake.
- Excellent collaboration, interpersonal, presentation, written, listening & verbal communication skills.
- Proficient in using source control systems (e.g. Git) to manage code, collaborate on development, and follow professional branching and versioning workflows.
- A deep understanding of data engineering best‑practice (e.g. robust data pipelines, security and networking, handling of sensitive data)
- Experience collaborating with clients to understand business requirements and build data engineering solutions tailored to their needs.
This is NOT an entry‑level role…we need someone who has made loads of mistakes, so that they can share their experiences with others. So, if this is a 1 st or 2 nd role for you, please don’t apply.
Our DATA 3 offer
- Want variety? You got it - we work across multiple tech, clients, sectors + locations
- Want training? You got it - we love developing people + nurturing talent
- Want time out? You got it - we offer 30 days holiday per year
- Want flexibility? You got it - we love flexible working
- Want diversity & inclusion? You got it - we believe that diverse + inclusive businesses are far more successful and better places to work
- Want free stuff? You got it – our offices provide free drinks, tea, coffee + more… plus you’ll be invited to join our employee benefits scheme…and you’ll receive DATA 3 branded merchandise too…yay!
- Want to enjoy coming to work every day? We do too - let’s create the culture we all want to work in
Our values
We have 3 values which drive what we do for our people, clients, partners, suppliers + other stakeholders – you MUST be someone with the same values:
- We make things simple - we’re down-to-earth + we challenge ourselves to make complex tech accessible for everyone
- We do what we say we will…at a pace - you can trust us to do right by people
- We’re inclusive - we work as a diverse, collaborative virtual team both within our business + with our clients too
We are B Corp certified so everyone at DATA 3 incorporates environmental, social and governance considerations into everyday thinking. We run our business using The DATA 3 Way which includes a code of ethics and training on our values and principles. It’s super important to us that our new team members have shared values.
Find out more about DATA³ on our website at www.data-cubed.co.uk
Data Engineer employer: Data Cubed
Data Cubed is an exceptional employer located in the vibrant West of England, offering a dynamic work environment that prioritises flexibility and professional growth. With a strong emphasis on inclusivity and collaboration, employees are encouraged to develop their skills while contributing to impactful client strategies in the data and AI space. Join a supportive team that values your expertise and fosters meaningful partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Data Cubed!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Data Cubed.
✨Leverage Professional Networks
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 Data Cubed.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Data Cubed, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Data Cubed, 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 Data Cubed. 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 Data Cubed
✨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 Data Cubed!
✨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.
