Data Developer

This Job Description outlines skill & experience requirements necessary to fulfil a Data Developer role with the Anseta Data Team. We are seeking out a self-driven individual to handle analytical, software development, and process development surrounding the ingestion, analysis, and reporting of financial data covering decentralised assets to traditional financial instruments to internal cost reporting.

This role of Data Developer is a hybrid role between data analyst and developer. An understanding of how data analytics and product development intersect will be essential for fulfilling the duties of the role. Our team is international and primarily communicates in English. The Anseta team is a highly diverse team which means this role requires a level of flexibility in both work hours and communication styles.

Day-to-day, the data developer role reports to the Anseta data lead and will be responsible for the following activities:

• ETL development and maintenance for platform core data acquisition for consumption by API’s and dashboards

• Assisting with architecting data strategy and systems with the aforementioned Anseta lead

• Consolidating data for the creation of monthly performance reports of decentralised proof-of-stake nodes

• We do extensive data work across web3 and decentralised assets and prior experience and understanding of both how to access and interpret these technologies is strongly preferred

• Actively evaluating and monitoring data quality

• Maintain an understanding of the data collected and assist other team members understand and utilize our data (including non-technical).

• Sociable in a Remote Work Context:Proactively engages with distributed team members across time zones, maintaining transparent communication and strong professional rapport despite physical distance.

• Engineering Mindset & Standards:Applies rigorous software engineering practices, clean code principles, and robust architecture to ensure high data accuracy, system performance, and scalable data pipeline design.

• Clarity of Thought:Translates complex financial and technical data structures into clear, actionable insights for both technical teammates and non-technical stakeholders.

• Independent:Takes full ownership of end-to-end data processes, driving complex data acquisition and integration initiatives forward with minimal direct oversight.

• Discretion:Handles highly sensitive financial data and internal cost metrics with complete integrity, strict confidentiality, and strict adherence to data governance practices.

• Data Analysis

• Business Intelligence Platforms

• Data Visualization (Looker Studio)

• Languages:

• Typescript (For Platform development)

• Rust (For high performance platform development) (Preferred)

• Python (Preferred)

• FrameWorks

• Express

• ORM Usage (Prisma experience wins points)

• RDBMS: Postgres (w/ Timescale wins points)

• Other (nice-to-haves)

• GCP data stack (Bigquery, CloudSQL, etc.)

• CloudSQL

• Kubernetes

• Spark

• Kinesis

• Looker Studio and adjacent

• Kafka

• AWS data stack

• Data Orchestration (e.g., Apache Airflow, Prefect, Dagster)

• Containerization & Infrastructure (e.g., Docker, Terraform)

• Version Control & CI/CD (e.g., Git, GitHub Actions, GitLab CI)

Originally posted on Himalayas