Job Description

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We are looking for a Senior 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. </text>
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<gh-about-us>
<title> About us</title>

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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!

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<title> About the role</title>

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As a Senior 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.

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<title> Main tasks and responsibilities:</title>

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• <point>Designing, building and optimizing elements of Bolt’s Finance data platform</point>
• <point>Integrating data flows and processes with ERP, Finance systems and 3rd party solutions</point>
• <point>Analyzing, understanding and documenting business logic and data structures</point>
• <point>Implementing data models and metrics in Data Warehouse including metrics, reports and dashboards in BI platform</point>
• <point>Proactively solving technical and business challenges and fixing bugs</point>
• <point>Work independently and together with stakeholders (Product teams, Data Platform, Finance) to improve data infrastructure, pipeline and reporting environment</point>

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<gh-requirements>

<title> About you:</title>

<bulletpoints>

• <point>A university degree in a technical subject (Computer science, Mathematics or similar)</point>
• <point>Proficient in SQL (MySQL, PostgreSQL, SparkSQL etc.) and data modeling. Extra credit from hands-on experience in distributed data processing (Spark or similar), working with cloud systems (AWS, Azure, Google) and operating with modern data stack tools like dbt, airflow, fivetran etc.</point>
• <point>At least 2-4 years of experience in data engineering or analytics engineering with solid knowledge of algorithms, data architectures and database design (OLTP/OLAP) and experience with BI tools such as Looker or PowerBI</point>
• <point>Good English and communication skills, willingness to experiment, learn and grow</point>
• <point>Competency and experience at least with 1 programming language like Python and strong understanding of engineering best practices (version control, testing, CI/CD)</point>
• <point>Keen to understand business logic, analytical skills to design solutions for business. Previous understanding of accounting and financial data, analytics and integrations</point>

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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!
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<gh-perks>

<title> Why you’ll love it here:</title>

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• <point>Play a direct role in shaping the future of mobility.</point>
• <point>Impact millions of customers and partners in 600+ cities across 50+ countries.</point>
• <point>Work in fast-moving autonomous teams with some of the smartest people in the world. </point>
• <point>Accelerate your professional growth with unique career opportunities.</point>
• <point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
• <point>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.</point>
• <point>Take care of your physical and mental health with our wellness perks.</point>

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<text>* Some perks may differ depending on your location and role.</text>
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