At a Glance
- Tasks: Build and optimise data pipelines using AWS and Databricks for innovative projects.
- Company: Join a forward-thinking company investing in technology and new products.
- Benefits: Enjoy 22-25 days holiday, staff discounts, and fun team events.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make an impact in data engineering while collaborating with passionate teams.
- Qualifications: Proficient in AWS, Databricks, Python, Scala, and SQL.
The predicted salary is between 50000 - 60000 £ per year.
This is an exciting opportunity for a Data Engineer to join a company who are constantly investing in new products and using technology to increase their market share! They are looking for someone to join their team who is enthusiastic about new ideas which they can't wait to share with their team and bring to life. As a Data Engineer, you'll focus on building and maintaining robust data pipelines within the AWS ecosystem, with a primary focus on the Delta Lakehouse Platform on Databricks.
Responsibilities:
- Data Ingestion: Build and optimize data ingestion pipelines using AWS services such as Lambda, Kinesis, and Glue.
- Data Transformation: Develop, maintain, and optimize transformation pipelines within our Delta Lake on Databricks.
- Data Modelling: Design and implement efficient and reliable data models to store and retrieve data.
- Collaboration: Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver optimal solutions.
- Data Quality: Ensure the reliability, integrity, and timeliness of data by implementing best practices and quality checks.
- Performance Optimization: Optimize queries and improve performance of data retrieval operations.
- Technology Stewardship: Stay updated with the latest advancements in AWS, Databricks, and the data engineering field in general. Provide recommendations on the adoption of new tools and technologies.
Requirements:
- AWS Services: Proficiency in AWS services like Lambda, Kinesis, and Glue.
- Databricks & Delta Lake: Hands-on experience with Databricks and Delta Lakehouse architectures.
- Programming: Proficient in Python, Scala, and SQL for data engineering tasks.
- ETL Processes: Demonstrated expertise in designing, building, and maintaining ETL processes.
- Data Modelling: Experience in logical and physical data modelling with large datasets.
- Problem Solving: Strong analytical and problem-solving skills, with a focus on troubleshooting data issues.
Preferred Qualifications:
- Certification in AWS and/or Databricks.
- Experience in a similar role in the online retail industry.
- Knowledge of best practices in data governance and data security.
Benefits:
- 22 days holiday rising to 25
- Staff discounts & Friends and Family discounts
- Cycle to work scheme and Tech Scheme
- Breakfast and drinks provided
- Charity day per annum supported
- Summer and Christmas Parties
- Street food days
- Access to Perkbox portal
Apply now to find out more!
Location: Newcastle upon Tyne, Tyne and Wear, NE12 8BX
Salary: £50,000 - £60,000
Sector: Data
Type: Permanent
Posted: 10/23/2023
Data Engineer in Newcastle upon Tyne employer: Ronald James
As an Information Security Manager at our fast-growing B2B technology business, you'll thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, ensuring you can advance your career while making a meaningful impact on our governance and compliance strategies. Join us in a location that fosters creativity and teamwork, where your expertise will be valued and your contributions will drive our success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
✨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 Ronald James!
✨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 Ronald James.
✨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 Ronald James.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Ronald James, 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 Newcastle upon Tyne
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 Ronald James, 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 Ronald James. 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 Ronald James
✨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 Ronald James!
✨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.
