At a Glance
- Tasks: Develop and maintain data pipelines, optimise databases, and ensure data quality.
- Company: Leading global commercial retailer based in Nottingham.
- Benefits: Competitive salary, excellent benefits package, and flexible work arrangements.
- Other info: Collaborative culture with opportunities for growth and innovation.
- Why this job: Join a dynamic team and shape data excellence in a thriving retail environment.
- Qualifications: Experience in data engineering, strong SQL skills, and familiarity with ETL tools.
This leading commercial retailer are looking for an experienced Data Engineer to join them as part of their continued data build & enablement strategy. As a Data Engineer, you will be responsible for developing and maintaining data pipelines, optimising databases, creating ETL processes, designing data models and ensuring data quality.
Reporting into the Lead Data Engineer, you will use your expertise in data engineering to derive valuable insights from data assets and shape data excellence across the organisation.
Key Responsibilities:
- Develop and maintain robust data pipelines to ingest, process, and transform data from various sources, while ensuring data reliability and quality.
- Implement seamless data integration processes supporting the continuous flow of information across the organisation.
- Design, optimise and manage databases to proficiently oversee data retrieval and storage, prioritising performance, availability and scalability.
- Craft efficient ETL processes transforming raw data into usable formats, including data cleaning, aggregation, and enrichment, streamlining data processing for enhanced efficiency.
- Build and maintain data warehouses for structured data storage, ensuring it is organised for easy retrieval, reporting and analysis.
- Implement stringent data quality checks and validation processes to ensure high accuracy, proactively monitoring and rectifying data integrity issues.
- Optimise data pipelines and databases for performance and scalability, anticipating future growth and evolving business needs.
- Enforce robust data security measures to uphold privacy regulations and safeguard against unauthorised access, ensuring data asset protection.
- Maintain comprehensive documentation for data pipelines, processes, and models, ensuring seamless knowledge transfer and ongoing support.
- Collaborate closely with cross-functional teams, fostering a data-driven culture by understanding requirements and delivering effective solutions together.
Key Skills & Expertise:
- Proven experience as a Data Engineer or similar role.
- Full UK Driving Licence required.
- Strong SQL skills with relational and NoSQL databases.
- Demonstrated experience with data pipeline and ETL tools (e.g. Azure Data Factory, Azure Logic Apps, Databricks, APIs).
- Understanding of different data environments (Data Lakes, Synapse, Delta Lakes).
- Proficiency in programming languages such as Python, Java, or Scala.
- Sound knowledge of data modelling, database design principles, data warehousing and data visualisation tools.
- Excellent attention to detail and creativity to design, develop and inform overall business strategy.
- Ability to work collaboratively and is open to new ideas whilst appreciating the difference each person makes.
Permanent Data Engineer position. Salary of £55,000 to £57,000, dependent on the level of experience. Excellent Benefits Package. One day per week onsite in Nottingham, on Tuesdays.
If you're interested in this role, apply now.
People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.
Data Engineer (ADF / Databricks) in Nottingham employer: Michael Page
ASDA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Leeds. With a strong commitment to employee growth, ASDA provides numerous opportunities for professional development and advancement, alongside competitive salaries and comprehensive benefits. The hybrid working model allows for flexibility, making it an attractive workplace for those seeking meaningful and rewarding careers in one of the UK's leading retail brands.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (ADF / Databricks) in Nottingham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer (ADF / Databricks) in Nottingham
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 Michael Page, 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 Michael Page. 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 Michael Page
✨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
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 Michael Page!
✨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.
