Senior Data Engineer
Summary
Contract Senior Data Engineer role in Central London (3 days onsite/week, no flexibility) designing scalable batch and real-time data pipelines on Azure using Databricks, Delta Live Tables, ADF, and Qlik Replicate, with Python, SQL, or Scala programming.
Contract
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.
We’re looking for candidates who can offer experience in the below so please ensure your application includes your experience with:
- ADF, and Qlik Replicate for data ingestion and replication.
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 optimise 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.