At a Glance
- Tasks: Design and maintain databases and scalable ETL/ELT pipelines for data-driven decision-making.
- Company: Join Safestore, a modernising company with a focus on data innovation.
- Benefits: Enjoy hybrid working, performance bonuses, and 25 days holiday plus more perks.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Be part of a dynamic team solving complex data challenges and driving best practices.
- Qualifications: 1+ years in Data Engineering, strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Data Engineer
Department
Support Office
Employment Type
Permanent - Full Time
Location
Borehamwood
Compensation
Description
Safestore are searching for a Data Engineer, responsible for designing, building and maintaining databases and scalable ELT/ETL pipelines to support business reporting, analytics and decision-making.
This is an exciting opportunity to work with a quickly modernising data stack supporting multiple branches of our business operations.
The postholder will develop and maintain data pipelines, integrate data from multiple sources, and support the continuous improvement of the organisation's data infrastructure.
This role requires a proactive and analytical individual who enjoys solving complex problems, working collaboratively and driving best practice in data engineering and Data Ops.
Key Responsibilities / Accountabilities
- Design, build and maintain robust ETL/ELT pipelines to ingest, transform and deliver data from multiple sources.
- Troubleshoot and resolve data quality, data integration and performance issues.
- Identify optimal data storage solutions for ingesting new data sources.
- Ensure data solutions comply with organisational security, governance and compliance requirements.
- Utilise version control and Data Ops best practices, including source control, code reviews, testing and deployment automation.
- Contribute to CI/CD processes to support efficient and reliable deployment of data solutions.
- Develop and maintain technical documentation relating to data architecture, pipelines and processes.
- Collaborate and pair-code with data engineers and data scientists.
Experience and Skills Required
- Minimum 1 year of experience in a Data Engineering or related role.
- Strong programming skills in Python.
- Strong SQL development and database querying skills.
- Experience designing, developing and supporting ETL/ELT pipelines in a production environment.
- Experience working with a cloud warehousing eg: Big Query.
- Understanding of data modelling principles and database design.
- Experience with Data Ops practices, including version control in Git Hub.
- Experience working with CI/CD pipelines.
- Familiarity with workflow orchestration tools.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Excellent communication and stakeholder management skills.
Benefits
- Hybrid working
- Annual bonus linked to performance
- Attractive sharesave scheme (which, to date, has delivered great returns for our colleagues)
- 25 days paid holiday per year (excluding bank holidays)
- Pension scheme
- Healthcare cash plan for all colleagues
- Wellbeing initiatives such as discounted gym membership and a cycle to work scheme
- Colleague and family discounts on Safestore products and services
- Employee Assistance Programme
- Enhanced parental leave
- #J-18808-Ljbffr
Data Engineer in Borehamwood employer: Safestore Holdings PLC
Safestore Holdings PLC is an exceptional employer, offering a dynamic work environment in St Albans where you can lead a passionate team and make a real impact on customer satisfaction. With a strong focus on employee development and performance-based bonuses, we foster a culture of growth and motivation, ensuring that our Store Managers have the tools and support needed to excel in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Borehamwood
✨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 Safestore Holdings PLC!
✨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 Safestore Holdings PLC.
✨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 Safestore Holdings PLC.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Safestore Holdings PLC, 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 Borehamwood
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 Safestore Holdings PLC, 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 Safestore Holdings PLC. 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 Safestore Holdings PLC
✨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 Safestore Holdings PLC!
✨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.
