Senior Data Engineer
Summary
Senior Data Engineer working hybrid in Central London (3 days onsite), designing scalable Databricks/Delta Live Tables pipelines and real-time plus batch analytics. Core stack: Python/SQL/Scala, Spark streaming, Azure, ADF and Qlik Replicate for ingestion including SAP sources.
Central London - 3 days onsite per week (no flex on this)
Certain Advantage are recruiting on behalf of our trading client for a Senior Data Engineer with strong analytical capabilities and hands-on experience in building scalable data solutions using a programming languages like Python or Scala as well as experience in Databricks and Delta Live Tables - This experience is essential.
Suitable candidates will have expertise in Databricks, streaming architectures, data ingestion frameworks, and dashboarding, along with experience working with SAP data sources.
You will be responsible for designing and implementing scalable data pipelines and enabling real-time and batch analytics across the organization.
Your Responsibilities:
- Design and implement scalable data pipelines using Databricks and Delta Live Tables (DLT).
- Develop and manage streaming data solutions for real-time analytics and decision-making.
- Ingest data from various sources—including SAP systems using Qlik Replicate and ADF to ingest data from various sources ensuring data quality and consistency.
- Perform data modelling and optimize data structures for analytics and reporting.
- Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
- Monitor, troubleshoot, and enhance data workflows for performance and reliability.
- Maintain technical documentation and contribute to data engineering best practices.
Required Skills & Qualifications:
- Strong experience with Databricks- DLT, Delta Lake concepts, UC governance.
- Solid understanding of streaming technologies (e.g., Spark Structured Streaming, Autoloader).
- Programming skills in Python, SQL, or Scala.
- Proficiency in data modelling, ETL/ELT processes, and data architecture.
- Experience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie)
- Strong analytical background with problem-solving skills.
- Performance tuning concepts like watermarking, late data handling, parallelism & checkpointing.
- Hands-on expertise in ADF, and Qlik Replicate for data ingestion and replication.
- Experience working in Azure cloud environments.
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.