Senior Data Engineer

We are looking for a Senior Data Engineer to ensure that our ML teams have easy access to clean, reliable, and real-time data. You'll achieve this through building scalable, low-maintenance, reusable, highly integratable, standard-bound, quality-assured data products and processes through collaboration with Data Producers, Data Consumers and Data Platform. Working closely with Data Producers, ML Engineers, and Product Analysts, you will uphold data quality and consistency, reduce costs, risks, and technical debt, and help speed up our ML development and deployment.

About us

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

About the role

As a Senior Data Engineer in the Delivery team, you will support our ML infrastructure so that ML Engineers can easily access reliable, real-time data. You will build and maintain data pipelines, ensure data quality, set up feature stores, and track data lineage. 

This will be achieved through building scalable, low-maintenance, reusable, highly integratable, standard-bound, quality-assured data products and processes through collaboration with Data Producers, Data Consumers and Data Platform.

Main tasks and responsibilities:

• Building and maintaining data marts in dbt and following system design and architectural best practices to ensure data integrity and efficiency across all processes.
• Setting up and managing the architecture, documentation, and key data transformations for in-house and third-party tools data. Gradually refactor historically scattered data flows into modularized and reusable data transformations in dbt
• Working closely with operational stakeholders and ML engineers to prioritize and align data modeling roadmaps, ensuring data solutions meet long-term scalable business needs
• Developing a robust Data model, to ensure ML engineers have timely access to clean, structured data for training and testing models while establishing and enforcing data contracts.
• Fulfilling a profiling feature store where commonly used features are stored and updated, allowing ML engineers to reuse features across different models while collecting a rich set of features to significantly increase the quality of ML models.
• Building a hierarchy of quality metrics for domains and the quality of ML models, specifically business metrics, technical metrics, and loss functions.

About you:

• You will have significant experience in developing analytics architecture and data modelling, working with large volumes of data and demonstrating tangible impact in the area.
• You are proficient in SQL, Python, and Spark, and experienced in leveraging tools such as Apache Spark, Apache Kafka, Airflow and dbt for effective data orchestration and data transformation at scale.
• You are proficient in data modelling tools, particularly dbt, with a focus on reusability, maintainability, reliability, and scalability. Excellent knowledge of system design and architectural best practices.
• You have experience with micro-service and distributed systems, self-service data ingestion, BI tools (e.g. Looker or Tableau) would be an advantage.
• You have experience working collaboratively in cross-functional teams, with a demonstrated ability to align data modeling efforts with operational priorities.
• You ideally, will have a bachelor's/Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics or Business

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

Why you’ll love it here:

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

#LI-Hybrid