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For Companies At a Glance
- Tasks: Design and maintain data pipelines while collaborating with data scientists and stakeholders.
- Company: Join a feel-good fashion brand with over 55 years of making style accessible and fun.
- Benefits: Enjoy a 40% staff discount, private pension, virtual GP access, and extra leave on your birthday.
- Why this job: Be part of a dynamic team that values innovation, inclusion, and personal development.
- Qualifications: Bachelor's in Computer Science or related field; strong experience in data pipeline development required.
- Other info: Flexible working patterns available; we celebrate diversity and support your career progression.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. As a Data Engineer, you will play a critical role in the design, development, and maintenance of our data infrastructure and pipelines. You will work closely with data scientists, business stakeholders, and other cross-functional teams to ensure that data is accessible, reliable, and secure.
WHAT'S IN IT FOR YOU
- 40% staff discount plus friends & family discounts throughout the year
- Access to our reward platform for external discount and offers
- Private pension scheme
- Profit related bonus scheme
- Virtual GP access for you and your children
- Life assurance policy from day one
- Extra paid day off on your birthday each year
- Interest-free season ticket loans
- Cycle2Work scheme
WHAT YOU'LL BE DOING
- Design, build, and maintain scalable data pipelines for large datasets.
- Monitor and optimize the performance of data pipelines and systems.
- Follow best practices, coding standards, and data engineering principles within the team.
- Ensure data security and privacy through the implementation of appropriate access controls and data encryption.
- Stay up to date with the latest advancements in data engineering and big data technologies.
- Work with data scientists to ensure that their models can be effectively integrated into production environments.
- Preparing data for predictive and prescriptive modelling.
- Identifying ways to improve data reliability, efficiency, and quality.
- Use data to discover tasks that can be automated.
- Work in short development cycles and with high deployment frequency to incrementally deliver data products.
- Play a key role in technical design and ongoing development of templates, reference code examples, and code libraries for data products.
- Build and maintain highly validated data-marts with ensured clarity and correctness of key business metrics for BI reporting purposes.
WHO YOU ARE
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Strong experience in data pipeline development and management.
- Excellent knowledge of programming languages such as Python and SQL.
- Proficient in big data technologies such as Hadoop, Spark, and NoSQL databases.
- Experience with cloud computing platforms such as AWS, GCP, and Azure.
- Ability to effectively communicate technical concepts to non-technical stakeholders.
- Experience with big data processing framework such as PySpark.
- Experience with a cloud-based platform for big data processing and machine learning such as Databricks.
- You are committed and determined to break down barriers to progress and you deliver results quickly.
- You innovate boldly and make improvements to solve business wide problems.
- You lead others by inspiring and always embrace change.
- You can adapt your style, content, and method of communication to the situation and audience.
WHY NEW LOOK?
We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals. We pride ourselves on being a flexible employer, our colleagues work a range of patterns.
Data Engineer employer: New Look
Contact Detail:
New Look Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as Hadoop, Spark, and cloud platforms like AWS or GCP. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of examples where you've improved data reliability or efficiency in previous roles. This aligns with their focus on innovation and delivering results quickly.
✨Tip Number 3
Brush up on your communication skills, especially how to explain technical concepts to non-technical stakeholders. This is crucial for the role, so consider practising with friends or colleagues who may not have a technical background.
✨Tip Number 4
Research New Look's company culture and values, particularly their commitment to inclusion and diversity. Be ready to discuss how your personal values align with theirs, as cultural fit is often just as important as technical skills.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly focusing on your skills with programming languages like Python and SQL, as well as your familiarity with big data technologies such as Hadoop and Spark.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your values align with the company's mission. Mention specific projects or experiences that demonstrate your ability to design and maintain data pipelines.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include any experience with cloud computing platforms like AWS, GCP, or Azure, and highlight your proficiency in big data processing frameworks such as PySpark.
Follow Application Instructions: Ensure your application is submitted in the required format, such as Microsoft Word, to avoid any issues during the review process. Double-check that all documents are included and formatted correctly before hitting submit.
How to prepare for a job interview at New Look
✨Know Your Data Engineering Fundamentals
Brush up on your knowledge of data pipelines, ETL processes, and big data technologies like Hadoop and Spark. Be prepared to discuss how you've applied these concepts in previous roles.
✨Showcase Your Programming Skills
Be ready to demonstrate your proficiency in Python and SQL. You might be asked to solve a coding problem or explain your approach to data manipulation, so practice common scenarios beforehand.
✨Communicate Effectively with Non-Technical Stakeholders
Since the role involves working with various teams, practice explaining complex technical concepts in simple terms. This will show your ability to bridge the gap between technical and non-technical team members.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in data engineering and cloud computing platforms like AWS and Azure. Being knowledgeable about current trends can set you apart from other candidates.
