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Data Engineer - £350PD - Remote
Job summary
A leading technology solutions provider is seeking a Data Engineer to design and maintain ETL pipelines. You will need strong AWS skills, especially with Glue and S3, to ensure data quality and governance across various data processes. The ideal candidate will have experience in Python and SQL, with an emphasis on data validation and integration. This is a remote position offering competitive rates.
Qualifications
- Experience in designing and maintaining ETL/ELT pipelines.
- Hands-on experience with AWS Data Services.
- Strong error handling and monitoring strategies.
Responsibilities
- Design, build, and maintain robust ETL/ELT pipelines.
- Implement data validation and data quality frameworks.
- Optimize data processing and integration tasks.
Skills
Tools
- Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data
- Hands‑on experience with AWS Glue and AWS Step Functions
- Implementation of data validation, data quality frameworks, and reconciliation checks
- Strong error handling, monitoring, and retry strategies in production pipelines
- Experience with incremental data processing patterns (CDC, watermarking, upserts)
- Amazon S3: data lake architectures, partitioning strategies, lifecycle policies
- DynamoDB: data modeling, secondary indexes, streams, and performance optimization
- Amazon Redshift: foundational querying, integrations, and performance considerations
- AWS Lambda for scalable data processing and orchestration
- Amazon EventBridge for event‑driven and decoupled data pipelines
- Strong understanding of vector database concepts, indexing strategies, and performance trade‑offs
- Design and implementation of embedding generation pipelines
- Optimization techniques for semantic search and retrieval accuracy
- Effective chunking strategies for document ingestion and processing
- Experience with CockroachDB deployment and management is beneficial
- Experience with PDF parsing libraries such as PyPDF2, pdfplumber, and AWS Textract
- Integration of OCR solutions (AWS Textract, Tesseract) for scanned documents
- Extraction of document structure (headings, tables, sections)
- Metadata extraction, normalization, and enrichment
- Handling of multiple document formats including PDF, HTML, and DOCX
- Familiarity with SAP data structures is beneficial
- Integration with PIM (Product Information Management) systems
- Design and consumption of REST APIs
- Python (advanced): pandas, numpy, boto3, and data processing best practices
- SQL (advanced): complex queries, performance tuning, and query optimisation
- Data profiling and ongoing quality assessment
- Schema validation and evolution strategies
- Data lineage tracking and observability
- Understanding of Master Data Management (MDM) concepts
- Product catalog data models and hierarchies
- E‑commerce data patterns and integrations
- B2B data exchange and system integration
To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.