At a Glance
- Tasks: Build and run data infrastructure for Zeta’s innovative lakehouse platform.
- Company: Join a forward-thinking tech company focused on data solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by enhancing data processing for engineers and analysts.
- Qualifications: 7+ years in software engineering with Scala expertise and a passion for learning.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Compute Platform Engineer on the Data Platform team, you will be part of the group responsible for building and running the data infrastructure that powers Zeta’s platform, including Zeta’s lakehouse platform. The Data Platform team delivers reliable, cost‑efficient data processing that scales with growth – so engineers and analysts can focus on business problems instead of wrestling with infrastructure. The team empowers data scientists and data engineers through a Scala data warehouse framework designed for data modeling and the creation of type‑safe and easily testable batch jobs. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability.
Responsibilities
- Operating and implementing new features in the framework and the services managed by the team.
- Engaging with data scientists and identifying ways of improving their experience and productivity when using our framework and services.
- Identifying and implementing computational improvements.
- Making improvements and/or fixing bugs by submitting patches to open‑source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others.
- Acting as an expert on Spark and Scala.
- Mentoring engineers (including through pairing, design discussions, and knowledge‑sharing sessions) and helping raise the bar on quality, reliability, and good practices across the team.
Qualifications
- Minimum 7 years of software engineering experience.
- A degree in Computer Science, Software Engineering, Physics, Math, or a related field.
- 2+ years of experience and proficiency in Scala or other JVM‑based languages.
- Experience with Spark and/or other large‑scale data‑processing frameworks.
- Experience with Kubernetes is a plus.
- Basic knowledge of Amazon Web Services (EC2, S3, Athena, etc.).
- Interest in back‑end technologies, architecture, and passion for learning new things.
- Interest in math, statistics, or adtech technology is a plus.
- Analytical approach to problems and pragmatic approach to solutions.
- Ability to work independently and enterprisingly in a dynamic environment where work priorities can change.
- Excellent interpersonal and communication skills, with the ability to discuss ideas in a distanced and constructive manner.
Senior Compute Platform Engineer employer: Zeta
Zeta is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Compute Platform Engineer role. With a focus on employee growth, we offer opportunities for mentorship and skill development while working on cutting-edge data infrastructure in a dynamic environment. Our commitment to reliability and efficiency not only empowers our teams but also ensures that you can make a meaningful impact in the tech landscape from our vibrant location.
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We think this is how you could land Senior Compute Platform Engineer
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We think you need these skills to ace Senior Compute Platform Engineer
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Zeta. 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 Zeta
✨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!
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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 Zeta!
✨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.
