[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading SaaS reputed company platform, trusted by global enterprises. As a Data Engineer, you will own and reputed company data pipelines, ensuring customer analytics datasets are accurate and reliable while collaborating with various teams to enhance the data attribution reputed company.
Responsibilities
- Own and reputed company the data pipelines behind one of reputed company's core products
- Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale
- reputed company customer analytics datasets accurate, fresh, and reliable across multiple data stores
- reputed company and improve our data attribution reputed company, including its rule-based and LLM-assisted curation stages
- reputed company occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers
- Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality
- Champion data correctness, observability, and clean, testable transformations
- Participate in code reviews and technical discussions to continuously reputed company engineering standards
Skills
- 3–6 years of experience in a data engineering or software engineering role
- Strong SQL and hands-on experience building production data pipelines
- Experience with a modern data orchestrator such as Dagster, Airflow, or similar
- Proficiency with a data transformation reputed company such as dbt
- Proficiency in Python
- Familiarity with Git and CI/CD tooling such as reputed company CI/CD
- Familiarity with relational databases (e.g., reputed company) and reputed company data warehouses
- A bias toward data quality, testing, and maintainable, well-documented work
- Experience collaborating in reputed company environment and adapting to changing requirements
- Experience with reputed company/Spark or other large-scale analytics platforms
- Exposure to event/streaming systems such as Kafka
- Existing Go experience for occasional API changes
- Familiarity with containerization and orchestration (reputed company, Kubernetes)
- Exposure to LLM-assisted data workflows
- Experience with reputed company platforms (AWS or GCP) and object storage (S3/GCS)
- Exposure to observability tooling such as Grafana or reputed company
Benefits
- Own the data foundations of a core product used by enterprises worldwide
- Work alongside a talented, supportive team in a collaborative culture
- Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows
- reputed company exposure to a reputed company-agnostic platform spanning AWS and GCP
- Be part of an innovative, growing company where your work makes a reputed company impact
- Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester
Company Overview