At a Glance
- Tasks: Design and maintain data pipelines, ensuring data integrity and performance optimisation.
- Company: Join Personio, a leading HR platform empowering small and medium-sized businesses across Europe and the US.
- Benefits: Enjoy 28 days of vacation, remote work options, and generous family leave.
- Other info: Embrace an inclusive culture that values diversity and offers continuous learning opportunities.
- Why this job: Make a real impact on how millions experience work while collaborating with innovative teams.
- Qualifications: Proven experience in data engineering, proficiency in Python or Java, and strong SQL skills required.
The predicted salary is between 43200 - 72000 £ per year.
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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 growing team of 1,800+ Personios across Europe and the US are building user-friendly products that delight our 14,000+ customers and their 1.5 million employees. Ready to make an impact from day one?
The Role: How you\'ll make an impact at Personio
This position will be a hybrid role for either our London or Munich office.
At Personio, your work transforms the way millions of people experience work every day. Join our Product & Technology team, where we drive our customers\' outcomes by designing, developing and delivering innovative and high quality products. Be empowered to take ownership of your areas and make an impact on your team, our product, and our customers.
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.
Role Responsibilities: 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.
Role Requirements: 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.
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.
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 (because we love what we do, but we also love vacation!)
- Make an impact on the environment and society with 2 (fully paid) Impact Days - one for an individual project of your choice and one for a company-wide initiative
- Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares
- Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 60% remote, 40% in-office working framework
- Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations
- Engage in a high-impact working environment with flat hierarchies and short decision-making processes
Senior Data Engineer - Analytics and Reporting (d/f/m) in London employer: Personio SE & Co. KG
At Personio, we pride ourselves on being an exceptional employer that champions inclusivity and personal growth. Our hybrid work model in vibrant locations like London and Munich allows for a balanced lifestyle, while our commitment to employee development is reflected in our competitive reward packages, generous vacation policies, and unique Impact Days that empower you to make a difference. Join us to be part of a dynamic team where your contributions truly matter and where we celebrate diversity as a strength.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Analytics and Reporting (d/f/m) in London
✨Tip Number 1
Familiarise yourself with the specific data warehousing technologies mentioned in the job description, such as Snowflake and Redshift. Having hands-on experience or relevant projects to discuss can set you apart during interviews.
✨Tip Number 2
Showcase your understanding of data governance and security best practices. Prepare examples of how you've implemented these measures in past roles, as this is crucial for the position.
✨Tip Number 3
Highlight your experience with cloud platforms like AWS, Azure, or GCP. Be ready to discuss specific projects where you utilised these technologies to solve real-world problems.
✨Tip Number 4
Demonstrate your collaborative skills by preparing examples of how you've worked with cross-functional teams. This role requires close collaboration with data scientists and analysts, so showing your teamwork abilities will be beneficial.
We think you need these skills to ace Senior Data Engineer - Analytics and Reporting (d/f/m) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience as a Senior Data Engineer. Focus on your skills in data pipeline development, data modelling, and performance optimisation, as these are key responsibilities for the role.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for Personio's mission and how your background aligns with their needs. Mention specific technologies you’ve worked with, such as Python or SQL, and how they relate to the job description.
Showcase Your Problem-Solving Skills:Provide examples of past projects where you successfully solved complex data engineering challenges. This will demonstrate your ability to tackle the responsibilities outlined in the job description.
Highlight Continuous Learning:Mention any recent courses, certifications, or industry trends you’ve engaged with that relate to data engineering. This shows your commitment to staying updated and improving your skills, which is important for the role at Personio.
How to prepare for a job interview at Personio SE & Co. KG
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, Java, or Scala. Highlight specific projects where you've designed and implemented data solutions, especially focusing on data pipeline development and performance optimisation.
✨Understand Data Warehousing Technologies
Familiarise yourself with data warehousing technologies such as Snowflake or Redshift. Be ready to explain how you've used SQL in past roles to manage and query large datasets effectively.
✨Demonstrate Collaboration Experience
Since the role involves working closely with cross-functional teams, share examples of how you've collaborated with data scientists, analysts, or software engineers. Emphasise your ability to understand their data needs and provide timely support.
✨Stay Updated on Industry Trends
Show your commitment to continuous learning by discussing recent trends or technologies in data engineering that interest you. This demonstrates your proactive approach to enhancing your skills and adapting to industry changes.