7 of 7 ETL Jobs in East London

knowledge of Microsoft Fabric, Azure Data Factory, Power BI, and related Azure tools Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working with large, complex datasets and APIs across formats (CSV, JSON, Parquet, etc) Familiarity with workflow automation tools (eg More ❯

AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3 … Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability More ❯

Test (SDET) with a strong focus on data automation to join our dynamic team. If you're driven by complex data challenges and thrive in high-performance environments where ETL testing has become second nature, this is the role for you. ?? Important: All applicants must be eligible for SC clearance Why Ten10? At Ten10, were one of the UKs leading … for SC clearance. Development background in Scala , Python , or Java Solid understanding of data engineering practices and data validation techniques. Experience using test automation frameworks for data pipelines and ETL workflows Strong communication and stakeholder management skills. Nice-to-Have: Hands-on experience with Databricks , Apache Spark , and Azure Deequ . Familiarity with Big Data tools and distributed data processing. More ❯

well-established knowledge-sharing community. What you'll do Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS) Build and maintain scalable data pipelines and ETL processes Optimise data models, storage, and performance for analytics and reporting Ensure data integrity, security, and best practice compliance Serve as a subject matter expert in Snowflake engineering efforts within … you'll need Proven experience designing and delivering enterprise-scale data warehouse solutions using Snowflake In-depth understanding of Snowflake architecture, performance optimisation, and best practices Strong experience in ETL development, data modelling, and data integration Proficient in SQL, Python, and/or Java for data processing Hands-on experience with Azure and AWS cloud environments Familiarity with Agile methodologies More ❯

ensure understanding and adherence to architectural and modeling standards. Stakeholder Engagement: Partner with the and Data Management team to drive the groups data strategy. Collaborate with business units to extract greater value from data assets. Engage with key stakeholders to identify technical opportunities for enhancing data product delivery. Provides consultative advice to business leaders and organizational stakeholders with ctionable recommendations … EA Sparx). Strong knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with data integration and ETL tools (e.g., Talend, Informatica). Excellent analytical and technical skills. Excellent planning and organizational skills. Knowledge of all components of holistic enterprise architecture. What we offer: Colt is a growing More ❯

You must be a highly effective communicator, both written and verbally. Desirable Experience Experience with property management software MRI Qube, Yardi or similar. Experience with Microsoft SQL. Experience with ETL Tools and Data Migration. Experience with Data Analysis, Data mapping and UML. Experience with programming languages (Python, Ruby, C++, PHP, etc). Hybrid: 2-4 days onsite (the business work More ❯

or within product development teams is a plus Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and multi-tenancy in data models and Orchestrating data through medallion architecture or equivalent You will ideally More ❯