Data Engineer (d/f/m)

Data Engineer (d/f/m)

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop data pipelines, models, and ensure data security for impactful HR tech.
  • Company: Join Personio, a leading HR tech company with a vibrant culture and innovative products.
  • Benefits: Competitive salary, 28 days vacation, mental health support, and flexible work options.
  • Other info: Enjoy a collaborative workplace with opportunities for personal and professional growth.
  • Why this job: Make a real impact in the HR industry while growing your skills in a supportive environment.
  • Qualifications: Experience as a Senior Data Engineer with skills in Python, SQL, and cloud platforms.

The predicted salary is between 63000 - 77000 £ per year.

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient.

Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees.

Ready to make an impact from day one?

The Role

This role requires 2 days per week in the office and is based in London.

Join us to shape the future of software in the underserved and high-impact HR technology industry.

Your work will have a direct and tangible impact on customers, offering ownership and the chance to make a meaningful difference.

As we prepare for significant growth, you'll face exciting challenges and have the opportunity to influence our path toward becoming one of the world's leading tech companies.

This role sits in our reporting and analytics function.

You will take a Senior role in building the latest version of a product that allows our customers to report and visualize their key employee/HR data.

What You'll Do

  • Data
  • Pipeline

Development: Design, develop, and maintain robust and scalable data pipelines to support the extraction, transformation, and loading (ETL) of data from diverse sources into our data warehouse.

  • Data

Modeling: Create and manage data models, ensuring data integrity, consistency, and accuracy.

Collaborate with stakeholders to understand data requirements and design appropriate data structures.

  • Performance Optimization: Identify and implement performance improvements for data processing and storage, working to optimize query performance and reduce latency.
  • Data Security and

Governance: Implement and enforce data security measures and governance policies to protect sensitive information.

Ensure compliance with data privacy regulations.

  • Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data needs and provide timely and accurate support.
  • Documentation: Create and maintain comprehensive documentation for data engineering processes, data models, and system architecture.
  • Continuous

Learning: Stay abreast of industry trends, emerging technologies, and best practices in data engineering.

Apply this knowledge to enhance and evolve our data infrastructure.

  • What You Need To Succeed
  • Proven experience as a Senior Data Engineer, with a track record of designing and implementing data solutions.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong experience with data warehousing technologies (e. g., Snowflake, Redshift) and proficiency in SQL.
  • Experience of working in an event-driven architecture environment and cloud platforms (e. g, AWS, Azure, GCP).
  • Familiarity with data governance and security best practices.
  • Excellent problem-solving skills and the ability to work independently or collaboratively in a team.
  • AI Fluency: You have hands-on experience using AI to improve your workflow, and the sound judgment to know exactly when to rely on it and when to step in yourself.

Why Personio?

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported.

We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger.

We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

At Personio, we value in-person collaboration while also offering flexibility.

This role is office-based, with 2 days per week required in your contracted office location.

The remaining days can be worked from home or in the office if you prefer.

In addition, you'll have 20 Flex Days per year to work remotely from other locations.

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity.
  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years.
  • Make an impact on the environment and society with 1 (fully paid) Impact Day.
  • Receive generous family leave, child support, mental health support (including 24 sessions per year with Oli for yourself and 10 sessions for a significant other), and sabbatical opportunities.
  • We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations.

There's also healthy snacks, drinks, and a weekly catered lunch.

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Data Engineer (d/f/m) employer: Personio

At PNO Innovation UK, we pride ourselves on fostering a dynamic and collaborative work environment that empowers our employees to excel in their roles. As a Senior Horizon Europe Grant Writer & Innovation Strategist, you will benefit from extensive professional development opportunities, a supportive culture that values innovation, and the chance to work with leading organisations across Europe. Our commitment to employee growth and a flexible work-life balance makes us an exceptional employer for those seeking meaningful and rewarding careers in the field of innovation consultancy.

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Contact Details:

Personio Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer (d/f/m)

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 Personio!

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 (d/f/m) at Personio.

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 Personio.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer (d/f/m) at Personio, 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 (d/f/m)

Data Pipeline Development
ETL (Extraction, Transformation, Loading)
Data Modeling
Performance Optimization
Data Security and Governance
SQL
Python

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 Personio, 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 Personio. 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 Personio

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 Personio!

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.