At a Glance
- Tasks: Build and maintain data pipelines for impactful decision-making using the latest tech.
- Company: Join AND Digital, a forward-thinking tech company dedicated to closing the digital skills gap.
- Benefits: Enjoy 25 days holiday, flexible working, training budget, and fun team socials.
- Other info: Be part of a diverse team that values collaboration, curiosity, and fun.
- Why this job: Make a real difference by delivering modern data platforms for big clients.
- Qualifications: Experience in Python, SQL, Snowflake or Databricks, and cloud platforms like AWS.
The predicted salary is between 50000 - 70000 £ per year.
Who We Are
AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap.
What You’ll Bring To The Table
- As a Data Engineer, you’ll help our clients deploy and maintain data pipelines in a production-safe manner, using the latest technologies and with a DataOps culture.
- You’ll work in a fast-moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.
Your Responsibilities
- Develop pipelines that bring data to life for decision making, either delivering insight or for more sophisticated data science applications.
- Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information.
- Be comfortable working in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.
- Bring experience in coding in Python and SQL.
- Have solid experience of Snowflake or Databricks.
- Understanding of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc).
- Have experience with DataOps concepts.
- Have experience adopting a Data Product mindset, ensuring datasets are discoverable, addressable, trustworthy, and self-describing for downstream consumers.
- Ability to bridge the gap between technical engineering and business value, translating stakeholder needs into robust data product specifications.
Why Join AND Digital?
We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving.
By Joining AND, We’ll Provide
- Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people’s lives.
- A “Blended Working” model, meaning you will be able to work in a range of locations from your home, in your clubhouse, on a client, as well as just a change of scenery.
- A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self.
- An annual budget for training and upskilling, including allocated days off so you don’t have to study in your own free time.
- Monthly and quarterly team socials – on us – ranging from after-work drinks, to driving experience days with your fellow club members.
- A safe environment for you to be yourself and challenge yourself.
Benefits
- 25 days holiday allowance + bank holidays.
- 2 days per year for volunteering.
- Share scheme.
- A £1000 flexifund to use on a personalised list of benefits such as a Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan PLUS many more.
Equal Opportunities Statement
At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.
Data Engineer in Leeds employer: hackajob
At AND Digital, we pride ourselves on being an exceptional employer that fosters a culture of collaboration, curiosity, and fun. Our commitment to employee growth is evident through our dedicated career scrum team and generous training budget, ensuring you have the resources to thrive in your role as a Data Engineer. With a flexible working model and a focus on meaningful projects, you'll not only contribute to closing the digital skills gap but also enjoy a supportive environment that values your individuality and ambitions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Leeds
✨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 hackajob!
✨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 hackajob.
✨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 hackajob.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at hackajob, 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!
We think you need these skills to ace Data Engineer in Leeds
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 hackajob, 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 hackajob. 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 hackajob
✨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 hackajob!
✨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.
