Senior Data Engineer

• Expert-level proficiency in Python, PySpark, and SQL
• Expert-level experience in ETL/ELT pipeline development, including designing, building, and maintaining scalable ingestion and processing pipelines
• Strong, expert-level experience with cloud data warehouse / data lake environments
• Expert knowledge of AWS, including practical experience with SageMaker and EventBridge in data/ML workflows
• Expert-level skills in data modeling, including corporate lending data domains
• Proven expertise in data quality and data lineage
• Proven, hands-on experience in ML model development and deployment
• Very good command of English, both spoken and written

Nice to have:

• Strong domain expertise in corporate lending or financial services
• In‑depth understanding of credit decision processes
• Hands‑on experience with LLM / Generative AI integration in data or analytics platforms
• Practical experience implementing agentic AI solutions
• Strong understanding of model explainability and interpretability concepts

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Senior Data Engineer ,[Design, build, and maintain scalable data pipelines ingesting data from internal banking systems, and external data providers, Develop and optimize data models for corporate lending domains, potentially involving loan origination, credit exposure, deal flow, and repayment history, Implement data quality checks, validation rules, and data lineage to ensure reliable and transparent data, Manage and evolve the data warehouse and data lake to support analytics, reporting, and machine learning use cases, Ensure data processing and storage comply with regulatory, security, and data governance requirements, Work closely with product managers, engineers, and lending domain experts in an agile team, Translate data insights and model outputs into clear, actionable recommendations for SMEs and business stakeholders, Document data pipelines, models, and key design decisions to support auditability and knowledge sharing] Requirements: SQL, Python, PySpark, ETL/ELT, AWS, AWS SageMaker, EventBridge, LLM Additionally: Private healthcare, Sport subscription.