Senior Data Engineer (d/f/m)

Personio | HR technology software

1h 45m ago

Hybrid

Full Time

United Kingdom

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.

Required Skills

pythonjavascalasqlsnowflakeredshiftawsazure

Required Languages

🇬🇧 English

The Role

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

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?

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.