At a Glance
- Tasks: Lead the development of data pipelines and deliver insights for decision-making.
- Company: AND Digital, a tech company focused on closing the digital skills gap.
- Benefits: 25 days holiday, flexible working, training budget, and team socials.
- Other info: Join a diverse team that values collaboration, curiosity, and fun.
- Why this job: Make a real impact by working with big clients and innovative projects.
- Qualifications: Experience in data engineering, SQL, and cloud platforms like AWS or Azure.
The predicted salary is between 63000 - 77000 £ 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 prioritized 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 Lead 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, and an understanding of data modelling approaches.
- Be comfortable working in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.
- Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life.
- Strong Snowflake experience is preferred, and Databricks experience would be a bonus.
- Practical hands-on experience 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).
- Hands-on dataops experience (eg. CI/CD, version control, IaC, etc.).
- 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 + flexible bank holidays.
- 2 days per year for volunteering.
- Share scheme.
- A £1000 flexifund to use on a personalised list of benefits such as 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.
Lead Data Engineer in Birmingham employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Birmingham
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We think you need these skills to ace Lead Data Engineer in Birmingham
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!
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How to prepare for a job interview at All The Top Bananas
✨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!
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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
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✨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.
