Data Engineer
Primary stack
Job description
About the Position
Data Engineer
We are seeking a Data Engineer to join our team in building a modern customer data and marketing analytics platform. The platform consolidates product events, CRM data, billing records, campaign performance, and operational metrics into trusted datasets for analytics and reporting.
Technologies
- Google BigQuery
- dbt/Dataform
- Apache Airflow
- Python
- SQL
- Fivetran
- Looker/Power BI
- Git
Responsibilities
- Build and maintain data pipelines for product analytics, CRM, billing, campaign, and operational data.
- Develop BigQuery models, scheduled queries, partitioned tables, clustering strategies, and cost-aware transformations.
- Use dbt or Dataform to create reliable, documented, and tested analytical models.
- Orchestrate data workflows with Airflow, including retries, dependencies, alerts, and backfills.
- Improve data quality through validation checks, freshness monitoring, and anomaly detection rules.
- Collaborate with analysts and product teams on metrics definitions, data marts, and reporting requirements.
- Support dashboards in Looker Studio, Looker, Power BI, or similar tools.
Requirements
- 3+ years of commercial experience in data engineering.
- Strong SQL skills and hands-on experience with BigQuery or another modern cloud warehouse.
- Experience with dbt, Dataform, or similar transformation frameworks.
- Experience with Airflow, scheduled workflows, data dependencies, and pipeline monitoring.
- Good Python skills for data processing, ingestion scripts, and automation.
- Understanding of data modelling, dimensional models, incremental loads, and data quality practices.
- Strong spoken English - B2+ or higher for clarifying metrics, requirements, and data issues with international teams.
Nice to Have
- Experience with event tracking, GA4, Segment, Amplitude, Mixpanel, or product analytics data.
- Experience with MySQL, PostgreSQL, API ingestion, or CDC pipelines.
- Experience with Terraform, CI/CD for data projects, or data cataloguing tools.
- Experience with marketing, SaaS, fintech, e-commerce, or subscription analytics.
We Offer
- Opportunity to work remotely or in a hybrid model.
- Join a team building a modern customer data and marketing analytics platform.
About the Company
We are Accentiko Inc. (DBA Infinity Technologies), a company dedicated to turning your project into a success story. Our team is committed to building clean, reliable data platforms and making analytics trustworthy for business teams.
Contact us to learn more about this opportunity and how you can contribute to our success.
Address:
Accentiko Inc. (DBA Infinity Technologies)
1521 Concord Pike, Suite 301-249, Wilmington, Delaware 19803, USA
InfiTech OÜ (DBA Infinity Technologies)
Ahtri tn 12, 15551 Tallinn, Harju maakond, Estonia
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Infinity Technologies, headquartered in London, specializes in creating global R&D hubs to help businesses achieve their goals. Promoting fully remote teams and a lean approach, we eliminate unnecessary office costs, sales, marketing expenses, and overheads for our customers. Our innovative fractal model ensures each R&D hub functions as a self-contained ecosystem tailored to the unique needs of each customer, acting as an extension of their team to develop products, maintain services, or execute strategic objectives.We leverage over 20 trademarked frameworks for building teams, developing software products, and designing outsourcing strategies, focusing on startups andmid-sizedcustomers. Our goal is to help them globalize their R&D efforts efficiently. Infinity Technologies also maintains a library of reusable components, enabling rapid prototyping, idea validation, and faster time to market—all while reducing costs. Since 2003, we have built 81 R&D hubs and currently operate 12 active hubs with distributed teams in 21 countries.With our expertise in cost-effective practices, economies of scale, and lean methodologies, Infinity Technologies empowers businesses to innovate, grow, and succeed in a global marketplace.
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