At a Glance
- Tasks: Build and improve data pipelines, migrating legacy systems to the Cloud.
- Company: Leading company with ambitious growth plans and a modern tech transformation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional development.
- Other info: Exciting opportunity to shape the future of data practices in a supportive environment.
- Why this job: Join a dynamic team at the forefront of data engineering innovation.
- Qualifications: Experience in data engineering, SQL, and cloud technologies like Snowflake or Databricks.
The predicted salary is between 63000 - 77000 £ per year.
Our client is the Leader in their field and have ambitious plans supported by strong business pipeline to double the revenue of their business by the end of 2028.
To enable this, they are embarking on a bold and significant business transformation reviewing and improving operational processes across the Group and modernising their technology stack.
The Software Engineering team is close to being complete with Engineers, Dev Ops, Architect and Automation Testers hired.
Now attention it turning to Data where we are looking for a Data Engineer.
Currently the Data Team use SAS and Micro Strategy and Power BI for internal reporting.
The Data team provide data analysis and insights on sales figures to their clients across the UK with one system providing one million lines of sales data every morning detailing how many units, where, when.
A lot of legacy systems need migrating and moving from on-premise to Cloud.
The new data platform will be Fabric but experience of that or Snowflake or Databricks is all good relevant experience.
The role will be a mixture of improving legacy and building new pipelines for data ingestion.
For example, new wins will require extracting data from their EPOS, creating pipelines for upstream and downstream of data.
Manual processes need to be automated.
Experience Seeking
- Data Engineering creating data pipelines for legacy and Cloud systems
- Awareness and experience of deploying Data systems via Dev Ops (Dev Sec Ops desirable)
- Snowflake, Databricks or Fabric (Snowflake here)
- Strong SQL skills
- Extensive ETL
- Azure Cloud
- Python for scripting
- SAS Programming a bonus
- Tuesday/Wednesday in Peterborough, rest remote
This is an exciting time to join this business at the beginning of their transformation to a modern Data Engineering practice
Data Engineer in Peterborough employer: Zenzo Digital Careers
Our client offers a dynamic work environment that fosters collaboration and innovation, making it an excellent employer for Solutions Architects. With a strong focus on employee growth and development, team members are encouraged to engage in continuous learning and contribute to impactful projects that shape the future of Estate and Facilities Management. Located in a vibrant area, employees benefit from a supportive culture that values diverse perspectives and promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Peterborough
✨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 Zenzo Digital Careers!
✨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 Zenzo Digital Careers.
✨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 Zenzo Digital Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Zenzo Digital Careers, 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 Peterborough
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 Zenzo Digital Careers, 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 Zenzo Digital Careers. 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 Zenzo Digital Careers
✨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 Zenzo Digital Careers!
✨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.
