Data Engineer

Our client develops and manufactures technologically advanced products from concept through production, and they are seeking a Data Engineer to help accelerate the modernization of their data platform. You will work across on-prem and cloud environments to operationalize and expand the enterprise Data Lake. If you enjoy turning complex data into trusted insight, you’ll fit right in.

As a Data Engineer, you will own ingestion and transformation workflows, collaborate with software engineers and domain experts, and enable analytics, AI, and decision-making across the organization. This is one vacancy.

• Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake.
• Co-design data interfaces and pipelines with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps.
• Model curated data within the lake into data warehouse structures (star schemas, wide tables, semantic layers) optimized for BI, ad-hoc analytics, and KPI reporting.
• Publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases.
• Establish robust data observability and quality checks to ensure reliability and consistency.
• Apply governance, security, and compliance controls across the data lake and warehouse—including role-based access, encryption, auditing, and data retention—in alignment with applicable regulations.
• Operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance.
• Work in accordance with our client’s values, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering.
• Bring 5–8+ years of experience building production-grade data systems, strong cloud data lake and data warehouse knowledge, and hands-on Python and SQL skills with distributed processing frameworks like Apache Spark.
• Show expertise in designing and implementing ETL/ELT workflows and data modeling techniques, with familiarity in AWS, Databricks, Snowflake, and open table formats such as Iceberg, Delta, or Hudi.
• Communicate clearly, work well with cross-functional teams, and thrive in a fast-paced environment. You have a bachelor’s degree in a quantitative field, fluency in English, and a track record of mentoring others.