Senior Analytics Engineer, Delivery
We are looking for an Analytics Engineer to empower the organisation with high-quality data at minimum effort to the consumer, while driving ROI through minimising cost, debt and risk involved in creating data products. 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.
Location: Tallinn, EstoniaView all roles
About us
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 Analytics Engineer in the Delivery team, you will own everything between Data Producers and Data Consumers. The goal of the Analytics Engineer is to empower the organisation with high-quality data at minimum effort to the consumer, while driving ROI through minimising cost, debt and risk involved in creating data products. This will be achieved 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.
What you can expect
Main tasks and responsibilities:
Build and maintain data marts in dbt.
Set up and manage the architecture, documentation, and key data transformations for in-house (our own product data) and third-party tools data (for both core and semantic models in dbt). Gradually refactor historically scattered Delivery data flow into modularized and reusable data transformations in dbt
Work closely with operational stakeholders and data analysts to prioritize and align data modeling roadmaps, ensuring data solutions meet long-term scalable business needs
Manage third-party data ingestion with self-service tooling (Fivetran) for a limited number of use-cases
Make sure both core and semantic models support operational analysis by analysts for decision making
Develop and maintain the semantic layer for operational data in dbt, including reusable metrics. Follow system design and architectural best practices to ensure data integrity and efficiency across all processes. Ensure high-performance, scalable, reliable and maintainable data transformations. Oversee data quality and consistency across the analytics layer (incl. with proper tests coverage and alerting). Be a liaison between the Delivery analytics team and the data platform team
What we expect
About you:
Bachelor's/Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics or Business
At least 3 years of significant experience in developing analytics architecture and data modeling, working with large volumes of data and demonstrating tangible impact in the area
Proficient in SQL, Python, and Spark, experience in leveraging tools such as Apache Airflow and dbt for effective data orchestration and data transformation at scale
Proficiency in data modeling tools, particularly dbt, with a focus on reusability, maintainability, reliability, and scalability. Excellent knowledge of system design and architectural best practices
Strong collaborator with excellent communication skills in English (both verbal and written)
Self-service data ingestion experience (e.g. with Fivetran) would be an advantage. Previous exposure to BI tools (e.g. Looker or Tableau) would be an advantage. Experience working collaboratively in cross-functional teams, with a demonstrated ability to align data modeling efforts with product priorities.
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!
Become part of our Data Analytics team
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 2 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.
