Data Analytics Engineer - Finance Data Warehouse at Bolt Technology

Tallinn, , Estonia -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modeling, Analytics Engineering, Data Engineering, Communication Skills, Algorithms, Database Design, Python, BI Tools, Version Control, Testing, CI/CD, Cloud Systems, Distributed Data Processing, Accounting, Financial Data

Industry

Software Development

Description

We are looking for a Data Analytics Engineer to join our Finance Data Warehouse team. You will be responsible for analyzing business requirements and data, building data models, aggregates, pipelines and integrations; and developing metrics, reports and dashboards in the Finance and Commerce domain. 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 Data Analytics Engineer for the Finance Data Warehouse team, you will be much more than a data expert, you will actively contribute to shaping the future of mobility. You will empower the organisation with scalable, reusable, high-quality data products. Main tasks and responsibilities:Designing, building and optimizing elements of Bolt’s Finance data platform Integrating data flows and processes with ERP, Finance systems and 3rd party solutions Analyzing, understanding and documenting business logic and data structures Implementing data models and metrics in Data Warehouse Proactively solving technical and business challenges and fixing bugs Developing metrics, reports and dashboards in BI platform Work independently and together with stakeholders (Product teams, Data Platform, Finance) to improve data infrastructure, pipeline and reporting environment About you:A university degree in a technical subject (Computer science, Mathematics or similar) Proficient in SQL (MySQL, PostgreSQL, SparkSQL etc.) and data modeling At least 2-4 years of experience in analytics engineering or data engineering Good English and communication skills Solid knowledge of algorithms, data architectures and database design (OLTP/OLAP) Competency and experience at least with 1 programming language like Python Experience with BI tools such as Looker or PowerBI Strong understanding of engineering best practices (version control, testing, CI/CD) Keen to understand business logic, analytical skills to design solutions for business Familiarity with any cloud systems (AWS, Azure, Google) Hands-on experience in distributed data processing (Spark or similar) Understanding of accounting and financial data, analytics and integrations Desire to experiment, learn and grow Worked with modern data stack tools like dbt, airflow, fivetran etc. Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! 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 and role. #LI-Hybrid

Responsibilities

The Data Analytics Engineer will design, build, and optimize elements of Bolt’s Finance data platform while integrating data flows with various systems. They will also analyze business logic and data structures, implement data models, and develop metrics and dashboards.