Senior Data Engineer

Experteer Overview In this role you will design and deliver data platform architectures to support analytics, ML, and AI workflows at a fast-growing quantum software company.You will own end-to-end data pipelines, catalogs, and governance, ensuring clean, versioned data accessible for teams and clients.You’ll work with cross-functional teams to translate requirements into scalable lakehouse solutions and drive data stewardship and reproducibility.This position offers exposure to cutting-edge tech and a mission-driven, inclusive culture.Compensaciones / Beneficios * Own end-to-end design and delivery of data platform architectures (lakehouse, data catalog, governance) from scoping to production release * Design, implement, and operate large-scale ETL/ELT pipelines and workflow orchestration for clean, accurate, versioned data * Define data modeling, partitioning, schema evolution, and versioning conventions to keep datasets queryable and reproducible * Establish authoritative data catalogs with schemas, metadata, lineage, sensitivity labels, and access policies * Validate released datasets against sources for completeness, correctness, and performance with objective acceptance criteria * Collaborate with ML/AI engineers to make data products consumable by analytics, APIs, and AI/agent workflows * Lead knowledge transfer with clients and cross-functional teams; mentor and review designs/code to raise engineering standards * Stay up to date with data engineering trends (open table formats, data catalogs, orchestration) and drive adoption where valuable Responsabilidades * Bachelors or master’s degree in computer science, software engineering, or a related field * 4+ years of professional data engineering experience with ownership of production data platforms or pipelines * Expert Python programming and strong SQL * Data modeling, ETL development, and database management (SQL and NoSQL) * Hands-on experience with lakehouse architectures and columnar/open table formats (Parquet, Apache Iceberg, Delta Lake) * Experience with distributed processing (Spark) and workflow orchestration (Airflow, Argo Workflows) * Strong cloud data platform experience (Azure, AWS, or GCP) including object storage, containers, and Kubernetes * Solid data governance knowledge (catalogs, metadata, lineage, access control, versioning) * Git-based workflows, CI/CD, and infrastructure-as-code experience * Excellent problem-solving, communication, and collaboration skills (English) Requisitos principales * Indefinite contract * Equal pay guaranteed * Variable performance bonus * Signing bonus * Work visa sponsorship * Relocation package (if applicable)

orchestration) and drive adoption where valuable Responsabilidades * Bachelors or master’s degree in computer science, software engineering, or a related field * 4+ years of professional data engineering experience with ownership of production data platforms or pipelines * Expert Python programming and strong SQL * Data modeling, ETL development, and database management (SQL and NoSQL) * Hands-on experience with lakehouse architectures and columnar/open table formats (Parquet, Apache Iceberg, Delta Lake) * Experience with distributed processing (Spark) and workflow orchestration (Airflow, Argo Workflows) * Strong cloud data platform experience (Azure, AWS, or GCP) including object storage, containers, and Kubernetes * Solid data governance knowledge (catalogs, metadata, lineage, access control, versioning) * Git-based workflows, CI/CD, and infrastructure-as-code experience * Excellent problem-solving, communication, and collaboration skills (English) Requisitos principales *

Indefinite contract * Equal pay guaranteed * Variable performance bonus * Signing bonus * Work visa sponsorship * Relocation package (if applicable)