At a Glance
- Tasks: Drive data platform development and optimise data workflows across various tech environments.
- Company: Established business in digital transformation with a focus on innovation.
- Benefits: Competitive salary, pension, healthcare, gym membership, and 25 days holiday.
- Other info: Hybrid working model with excellent career growth and professional development opportunities.
- Why this job: Join a fast-paced environment and work on exciting projects involving cloud and AI.
- Qualifications: Experience with Python, SQL, data pipelines, and cloud infrastructure (AWS & Azure).
The predicted salary is between 75000 - 90000 ÂŁ per year.
We're supporting a wellâestablished business in the digital transformation space, and they're looking for someone to help drive data platform development across multiple business areas and tech environments. You'll work closely with technical and nonâtechnical teams, owning data pipelines, improving performance, and getting involved in projects that span cloud, automation, and AIâreadiness.
This role is perfect for someone who enjoys building and optimising data workflows, thrives in a fastâmoving environment, and wants to work across a variety of platforms and challenges.
What You'll Need
- Own and enhance existing Foundry solutions, ensuring ongoing support, maintenance, debugging, and performance optimisation.
- Strong knowledge of data pipelines, cloud infrastructure (AWS & Azure), and integration tools.
- Analyse client business needs and data flows, translating them into functional specifications and scalable Foundryâbased solutions.
- Develop backâend logic and custom code blocks within Foundry, including database interactions, API integrations, and business logic implementation.
- Solid handsâon experience with Python and SQL.
- Confident working with structured and unstructured datasets.
- Comfortable contributing to both technical delivery and collaborative problemâsolving.
Salary And Benefits
This role is paying a salary of ÂŁ75,000-ÂŁ90,000 DEO per annum with brilliant benefits including:
- Competitive pension contribution
- Health care
- Gym membership
- 25 days holiday
- Hybrid working with a modern London workplace
- Career opportunities
- Professional development and study support
If this role is of interest, please do apply today and we will be in touch.
Data Engineer (Palantir) in Harrow on the Hill employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Engineer (Palantir) in Harrow on the Hill
â¨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might even lead to a referral.
â¨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving data pipelines and cloud solutions. This will help you stand out during interviews.
â¨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. Focus on problem-solving scenarios and be ready to discuss your experience with Python, SQL, and cloud platforms.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer (Palantir) in Harrow on the Hill
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with data pipelines, cloud infrastructure, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific technologies like Python and SQL that youâre proficient in.
Showcase Your Problem-Solving Skills: In your application, donât just list your skillsâshow us how you've used them to solve real-world problems. Whether it's optimising data workflows or debugging issues, we love to see examples of your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, itâs super easy!
How to prepare for a job interview at Peaple Talent
â¨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, cloud infrastructure, and integration tools. Be ready to discuss your hands-on experience with Python and SQL, as well as how you've tackled challenges with structured and unstructured datasets.
â¨Showcase Your Problem-Solving Skills
Prepare examples of how you've contributed to technical delivery and collaborative problem-solving in past roles. Think about specific projects where you improved performance or optimised workflows, and be ready to share those stories.
â¨Understand the Business Needs
Familiarise yourself with how to analyse client business needs and translate them into functional specifications. Be prepared to discuss how you've developed scalable solutions in the past, especially using Foundry.
â¨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data platform development and their approach to digital transformation. This shows your genuine interest and helps you assess if it's the right fit for you.