Analytics Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Analytics Engineer (dbt/BigQuery): Transforming raw data into actionable insights by building performant dbt models and automating business workflows with an accent on data modeling and software engineering rigor. Focus on bridging the gap between the data warehouse and operational tools to drive strategic decision-making.
Location: Hybrid (London, Johannesburg)
Company
is a leading provider of regulated payment and trading services in crypto and fiat for the digital asset economy.
What you will do
- Lead the development of dbt projects to create a reliable and modular "Source of Truth".
- Build performant data models in BigQuery using software engineering practices like Git, CI/CD, and unit testing.
- Collaborate with business leads to identify and automate manual processes to streamline operational workflows.
- Leverage AI tools and LLMs to accelerate development cycles and enhance data quality.
- Translate complex business requirements into robust technical solutions and act as a consultant to stakeholders.
Requirements
- 3+ years of experience as an Analytics Engineer, Data Engineer, or Technical Data Analyst in a high-growth environment.
- Deep practical expertise with dbt and cloud warehouses, specifically BigQuery.
- Expert-level SQL skills for writing complex and performant queries.
- Proficiency in Python for data manipulation and handling APIs.
- Experience using AI-first development tools such as Cursor or GitHub Copilot.
- Exceptional communication skills to explain technical solutions to non-technical stakeholders.
Nice to have
- Experience with workflow automation tools like n8n or Zapier.
- Proficiency with BI or semantic platforms such as Looker or Thoughtspot.
- Industry experience in Payments, FinTech, Banking, or Cryptocurrency.
- Familiarity with Reverse ETL for moving data back into SaaS tools.
Culture & Benefits
- Hybrid working arrangement with a strong focus on personal and professional growth.
- 30 days annual leave (excluding bank holidays) and 4 wellbeing days per year.
- Comprehensive benefits package including private healthcare, pension, and life insurance.
- Income protection and an enhanced parental leave policy.
- Flat organizational structure with direct access to leadership and no communication barriers.
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