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For Companies At a Glance
- Tasks: Design and maintain data pipelines, manage data ingestion, and support analytics initiatives.
- Company: Join a forward-thinking tech company known for innovative digital products in Cumbria.
- Benefits: Enjoy flexible hybrid working and a close-knit team environment with opportunities to innovate.
- Why this job: Be part of a growing team that values data and offers a chance to make an impact.
- Qualifications: Strong skills in Python, SQL, and experience with databases and BI tools required.
- Other info: This role is perfect for proactive individuals passionate about data and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Founding Data Engineer – £110k | Establish a Data Engineering function | Leeds/ hybrid | Python, Spark, Data Bricks, AWS, Azure
About the business
G.Digital have exclusively partnered with a Tech business who are looking for their Founding Data Engineer as part of this business\’ 7 figure, brand new offering.
About the role
💡This isn\’t your standard Data Engineering role and it\’s definitely not for everyone….
- You will be tasked with initially getting your hands dirty and delivering a key Data Engineering project that is expected to last 3-6 months
- You will then be tasked with establishing what the Data Engineering function can and will look like including deciding technologies and capabilities.
- You will be able to lean on an already world leading Tech team who have countless war stories of delivering cutting edge solutions
About you
- 😍You must come from a strong Software Engineering background; C#, Java, Python
- 😍You will have hands on experience in a Data Engineering capacity with Python, Spark, SQL, Pyspark, PowerBI etc
- 😍Experience with hyperscale platforms; AWS, Azure, GCP
- 😍Embrace modern technologies such as Microsoft Fabric etc
- 😍Experience building and leading Data Engineering teams.
What\’s in it for you?
- Great Salary: up to £110k
- up to 8% pension
- Hybrid working
If you\’d like to find out more, drop me a message on:
Founding Data Engineer – £110k | Establish a Data Engineering function | Leeds/ hybrid | Python, Spark, Data Bricks, AWS, Azure
#J-18808-Ljbffr
Data Engineer employer: G.Digital
Contact Detail:
G.Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, and data handling formats like JSON and XML. Being able to discuss your experience with these tools in detail will show that you're a strong fit for the role.
✨Tip Number 2
Network with current or former employees of G.Digital on platforms like LinkedIn. Engaging with them can provide you with insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've built and optimised ETL pipelines or worked with data visualisation tools like Power BI or Tableau. Concrete examples will help demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Show your enthusiasm for data governance and security practices by staying updated on the latest trends and best practices in the field. This knowledge can set you apart and highlight your proactive approach to data management.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data handling. Include specific examples of projects where you've built ETL pipelines or worked with data visualisation tools like Power BI or Tableau.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives decision-making. Mention your adaptability and proactive approach, and relate your skills to the key responsibilities outlined in the job description.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your ability to manage data ingestion and transformation, include them in your application. This could be through a portfolio or as part of your CV.
Highlight Collaboration Skills: Since the role requires collaboration with both technical and business teams, provide examples in your application of how you've successfully worked in cross-functional teams to achieve common goals.
How to prepare for a job interview at G.Digital
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and handling various data formats like JSON and XML. Be prepared to discuss specific projects where you've built ETL pipelines or worked with data warehouses.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled challenges in data ingestion and transformation. Companies love to see candidates who can think critically and come up with innovative solutions to complex problems.
✨Understand the Company’s Data Needs
Research G.Digital and their product markets. Understanding their data-driven approach will help you tailor your responses and show that you're genuinely interested in contributing to their goals.
✨Emphasise Collaboration Skills
Since the role involves working with both technical and business teams, be ready to discuss your experience in cross-functional collaboration. Share examples of how you've effectively communicated complex data concepts to non-technical stakeholders.
