Senior Data Engineer

To apply for the Senior Data Engineer position at Zego, candidates should have a solid understanding of ETL and ELT paradigms, experience in data pipeline development, and a working knowledge of programming languages like Python and SQL. Familiarity with databases like PostgreSQL and experience with cloud technologies such as AWS services are also beneficial. Additionally, a commitment to learning emerging technologies and collaborating with cross-functional teams is crucial for success.

As a Senior Data Engineer at Zego, you will work with an exciting stack that includes Airflow for orchestrating data workflows, Data Build Tool (DBT) for data modeling, and various AWS services for building scalable data solutions. A familiarity with Python and SQL will be vital, along with an interest in learning about infrastructure as code tools like Terraform. Your skills will help evolve our data ecosystem and drive innovative data practices across the company.

The work culture at Zego for the Senior Data Engineer role is flexible and collaborative. We embrace a hybrid working model that allows you to choose your office days while ensuring that teamwork and communication flourish. Our commitment to work-life balance means you have the autonomy to manage your time effectively and still engage in face-to-face collaboration with colleagues in our London office as needed.

At Zego, we prioritize personal and professional development for our Senior Data Engineers. You will have practical opportunities to work with innovative technologies and participate in projects that challenge and enhance your skills. Our supportive team encourages continuous learning, and there's a strong focus on knowledge-sharing that helps you grow in your role while impacting the company's data practices.

Zego supports work-life balance for Senior Data Engineers by offering a hybrid working model that allows you to choose when to come into the office. You only need to be in the London office at least once a week, giving you the flexibility to balance personal commitments while enjoying collaborative team interactions. We also provide wellness benefits and competitive leave policies to help maintain your overall wellbeing.

As a Senior Data Engineer at Zego, you will work on diverse projects that include developing and maintaining ETL and ELT pipelines, assisting in the implementation of machine learning pricing models, and collaborating with product managers to bring new data-driven products to market. You'll also help enhance our data architecture and drive initiatives that contribute to building a robust data ecosystem.

Zego offers an attractive benefits package for Senior Data Engineers, including a market-competitive salary, private medical insurance, and company share options. You will also enjoy a generous holiday allowance and an array of wellbeing benefits, reflecting our commitment to employee satisfaction and their overall health.

When answering this question, highlight specific ETL or ELT projects you've worked on, including the tools and technologies used, such as Airflow or DBT. Discuss your understanding of data extraction, transformation, and loading, and any challenges you faced during the process, showing how you successfully resolved them.

To answer this, speak about the methods you implement to validate data quality at every stage of the pipeline. Discuss techniques like automated testing, data profiling, and regular checks for consistency and accuracy, emphasizing your commitment to delivering high-quality data.

In your response, detail your familiarity with cloud platforms such as AWS, discussing specific services like Redshift or Snowflake you have experience with. Share how you've used these technologies to optimize data storage and processing, focusing on your contributions to building scalable data environments.

Highlight your collaborative approach by discussing specific examples of cross-functional projects. Emphasize clear communication and understanding different perspectives, showcasing how collaboration has led to successful outcomes in leveraging data for insights and business decisions.

Share your proficiency in Python and SQL, including projects where you've utilized these languages to create data transformations or write queries. Provide examples of how your coding skills enhanced data processing efficiencies or analytics capabilities.

Discuss the principles of data modeling and your practical experience in creating models for databases using tools like DBT. Mention any specific modeling techniques you've employed, such as dimensional modeling, and how you ensured the models align with business needs.

Discuss your perspectives on emerging trends in data engineering, such as the rise of real-time data processing and the integration of machine learning. Relate these trends to how you envision evolving your skills and contributing to Zego's data practices.

When answering, provide a specific instance where you encountered a significant challenge, such as data migration or integration issues. Walk through the steps taken to assess the problem, devise a solution, and the final outcome, showcasing your problem-solving skills.

Convey your commitment to continuous learning by discussing resources such as online courses, webinars, forums, or industry publications you regularly engage with. Mention how staying up-to-date has benefited your projects and overall skill development.