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For Companies At a Glance
- Tasks: Design and build scalable data pipelines while collaborating with a dynamic team.
- Company: Join Adler & Allan, an environmental champion dedicated to sustainability.
- Benefits: Enjoy competitive pay, enhanced leave, and career progression opportunities.
- Why this job: Make a real impact on the environment while working with exciting datasets.
- Qualifications: Experience with AWS, Python, SQL, and a passion for learning.
- Other info: Work in a diverse and inclusive environment with strong support for your development.
The predicted salary is between 30000 - 50000 £ per year.
Join to apply for the Data Engineer role at Adler & Allan. We are seeking an experienced Data Engineer to join our recently formed Data Science team. The ideal candidate will have a proven track record of delivering scalable, cloud‑based data pipelines. You'll enjoy working with others to design and implement new processes, maintain existing ones, and promote best practices. This is a chance to work with large, interesting datasets in a collaborative and inclusive company.
Key Responsibilities
- Design and build pipelines within our data platform, building automation and quality into everything you do.
- Share knowledge and promote best practices. We want to build stable, resilient and future‑proof systems.
- Help to develop and implement our data architecture and engineering roadmap.
- Work on ad hoc data extraction and ETL tasks as needed to support colleagues.
- Collaborate with colleagues across the business to understand their data problems and design solutions that help them.
- Coach and mentor junior colleagues, supporting them in their development.
Key Requirements
- Proven experience as a Data Engineer working with cloud technologies (AWS preferred) and large volumes of data.
- Good coding skills, with strong Python and SQL.
- A can‑do attitude and enjoy learning new things. Comfortable taking ownership, breaking down complex problems and asking for help when needed.
- Strong communication skills, able to clearly explain and document your work.
- A solid understanding of data‑related best practices when it comes to security, version control, etc.
- Able to work from our office in Nelson two days a week.
What we can offer you
- Enhanced maternity, paternity and adoption pay and leave.
- Company pension.
- Life assurance scheme (x4 salary).
- Medicash Plan (cash payments towards dental, medical, therapeutic treatments, with option to add up to 4 dependants).
- Refer a friend scheme.
- Employee assistance programme (access to GP appointments and mental health support).
- Competitive annual leave plus bank holidays.
- Training and career progression opportunities.
About us
Adler and Allan Group is an environmental champion committed to protecting our planet while helping businesses thrive. We are a diverse, dynamic team dedicated to providing top‑tier environmental, energy and water infrastructure services across the UK. Our mission is to safeguard the environment, minimise operational disruptions and support sustainability goals for our valued clients. Adler and Allan are committed to fostering diversity and inclusion in our workplace. We proudly embrace equal opportunities for all applicants, regardless of race, colour, religion, sex, sexual orientation, gender identity or national origin. If you require any support with your application, whatever the circumstance, please let us know.
AWS Data Engineer in Nelson employer: Adler & Allan
Contact Detail:
Adler & Allan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer in Nelson
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just chat with folks on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving AWS and data pipelines. This gives potential employers a tangible sense of your capabilities.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific challenges you've faced in data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Adler & Allan.
We think you need these skills to ace AWS Data Engineer in Nelson
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Coding Skills: Since coding is a big part of this role, don’t forget to showcase your Python and SQL skills. Include specific examples of how you've used these languages in past projects. We love seeing practical applications!
Be Clear and Concise: When writing your cover letter, keep it clear and concise. Explain why you’re interested in the role and how you can contribute to our team. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Adler & Allan
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with cloud-based data pipelines, especially in AWS. Be ready to discuss specific projects where you've designed and built these systems, highlighting any challenges you faced and how you overcame them.
✨Show Off Your Coding Skills
Brush up on your Python and SQL skills before the interview. Be prepared to answer technical questions or even solve coding problems on the spot. It’s a great way to demonstrate your proficiency and problem-solving abilities.
✨Communicate Clearly
Since strong communication skills are key for this role, practice explaining complex data concepts in simple terms. Think of examples where you've had to collaborate with colleagues to solve data issues, and be ready to share those stories.
✨Embrace a Can-Do Attitude
Adler & Allan values a proactive mindset, so come prepared to discuss how you take ownership of your work. Share instances where you've tackled complex problems and how you approach learning new technologies or methodologies.
