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- Tasks: Develop and integrate datasets into client workflows, focusing on scalability and clean data pipelines.
- Company: Join a mission-driven company transforming data into impactful insights for B2B organizations.
- Benefits: Enjoy a competitive salary, stock options, and a flexible hybrid work model.
- Why this job: Work on exciting data challenges with a collaborative team committed to social impact and sustainability.
- Qualifications: 3-4 years in data engineering, proficient in Python, PySpark, and SQL; startup experience is a plus.
- Other info: Utilize Palantir Foundry and contribute to innovative platforms as we evolve.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer Location: Hybrid (Central London, 3 days per week) About Us: We are on a mission to enable businesses to make impactful, long-term decisions through data-driven insights. Our innovative platform integrates and transforms diverse datasets into actionable analytics. Join our team as we scale our ground breaking solutions and help B2B organizations unlock their potential. What You’ll Do: Develop and integrate datasets into client workflows with a focus on scalability. Create clean, efficient data pipelines to meet dynamic business needs. Utilize Palantir Foundry for streamlined client onboarding and build proprietary platforms as we evolve. (nice to have) What We Offer: Competitive salary and stock options. Flexible hybrid work model. Work on exciting data challenges with a collaborative and skilled team. Be part of a mission-driven company committed to social impact and sustainability. Your Experience: 3-4 years in data engineering with proficiency in Python, PySpark, and SQL. Skilled in creating maintainable data pipelines and contributing to shared codebases. Startup experience or enthusiasm for fast-paced environments. Familiarity with tools like Airflow, DBT, Databricks, or front-end development is a plus. If you’re ready to shape the future of data-driven strategies, apply now
Data Engineer employer: Ability Resourcing
Contact Detail:
Ability Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with Palantir Foundry and other tools mentioned in the job description. Having hands-on experience or a solid understanding of these platforms can set you apart during the interview process.
✨Tip Number 2
Showcase your ability to work in a hybrid environment by discussing any previous experiences where you successfully collaborated with remote teams. This will demonstrate your adaptability and communication skills.
✨Tip Number 3
Prepare to discuss specific examples of data pipelines you've built in the past. Highlight how they were scalable and efficient, as this aligns directly with what we’re looking for in a Data Engineer.
✨Tip Number 4
Express your enthusiasm for working in a startup environment. Share any relevant experiences that showcase your ability to thrive in fast-paced settings, as this is a key aspect of our company culture.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Company Mission: Before applying, take some time to understand the company's mission and values. Highlight how your experience and skills align with their goal of enabling businesses to make impactful decisions through data-driven insights.
Tailor Your CV: Make sure your CV reflects your 3-4 years of experience in data engineering. Emphasize your proficiency in Python, PySpark, and SQL, and include specific examples of how you've created maintainable data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for working in a fast-paced environment and your familiarity with tools like Airflow, DBT, or Databricks. Mention any startup experience you have and how it has prepared you for this role.
Highlight Relevant Projects: If you have worked on projects that involved integrating datasets or building data pipelines, be sure to mention these in your application. Provide details about the challenges you faced and how you overcame them to deliver results.
How to prepare for a job interview at Ability Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PySpark, and SQL in detail. Highlight specific projects where you developed data pipelines or integrated datasets, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Familiarize yourself with the company's mission to enable data-driven decisions. Be ready to discuss how your skills can contribute to their goals and how you align with their commitment to social impact and sustainability.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you faced challenges in data engineering and how you overcame them, especially in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use (like Palantir Foundry, Airflow, or Databricks), and the types of data challenges they face. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
