14 of 14 ETL Jobs in Kent

exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data ...

Data Engineer with hands-on experience in Microsoft cloud data platforms, Microsoft Fabric, or Azure-based technologies. Strong SQL skills and practical experience building ETL/ELT pipelines and scalable data models. Experience working with medallion-style architectures. A good understanding of data governance principles, documentation, and best practice. Someone ...

Data Engineer with hands-on experience in Microsoft cloud data platforms, Microsoft Fabric, or Azure-based technologies. Strong SQL skills and practical experience building ETL/ELT pipelines and scalable data models. Experience working with medallion-style architectures. A good understanding of data governance principles, documentation, and best practice. Someone ...

Snowflake compute consumption Implement streaming and batch data ingestion patterns using Snowpipe and Kafka connectors Design data transformation workflows using SQL, Python, and modern ETL/ELT patterns Establish data quality frameworks and monitoring systems Technical Leadership Provide architectural guidance for data platform modernization initiatives Lead migration efforts from legacy … following platforms: Oracle, Teradata, Netezza, MS SQL Server, PostgreSQL Demonstrated expertise in migrating from legacy data platforms to Snowflake Experience with ETL/ELT tools including Informatica, Talend, and/or Matillion Technical Skills Snowflake Expertise: Deep understanding of Snowflake architecture, including virtual warehouses, storage layer, and cloud services layer ...

/or on-premises using (Cloud Integration, Application Integration and Enterprise web services APIs) Experience in integrating the systems using both traditional methods (CSV, ETL, SFTP, etc.) and Web Services (SOAP, REST, etc.) Familiarization with claims-based authentication such as SAML/OAuth, MFA, etc. Associates that live near ...

Strong command of cloud infrastructure fundamentals — compute, storage, networking, cost optimization, and security. Engineering Leadership & Development Standards Proven ability to design, build, and oversee ETL/ELT pipelines and data services using Chainsys, Azure Data Factory, Airflow, Databricks, and Delta Lake. Advanced proficiency in Python and the Spark ecosystem (PySpark … least 5 years leading enterprise-scale teams. Proven success implementing modern data ecosystems (cloud, lakehouse, streaming, data mesh, etc.). Strong proficiency in ETL/ELT frameworks, distributed computing, and orchestration tools. Bachelor's or Master's degree in Computer Science, Engineering, or related field. Excellent communication and stakeholder engagement ...

migration from on-prem to Azure , defining architecture, governance, and delivery best practices. Designing, developing, and optimising data pipelines, integration frameworks, and ETL processes in Azure. Building and maintaining scalable solutions using Azure Data Lake, Synapse, Data Factory, and Databricks . Establishing robust data governance, quality, and lineage frameworks across … . Direct experience migrating from on-premise environments to Azure , ideally within a regulated or financial services context. Deep technical knowledge of data architecture, ETL/ELT, and data modelling . Excellent coding skills in SQL and Python , with experience implementing DevOps for data and CI/CD. Strong leadership ...

balance autonomy with alignment Ideally, experience working on payment systems such as Stripe or similar Ideally, experience working on data extraction, integration, or ETL platforms Interview Process 2 stages over Zoom 1st stage will be an introductory call 2nd stage will involve a pair programming session ...

balance autonomy with alignment Ideally, experience working on payment systems such as Stripe or similar Ideally, experience working on data extraction, integration, or ETL platforms Interview Process 2 stages over Zoom 1st stage will be an introductory call 2nd stage will involve a pair programming session ...

advanced analytics. You have "lived" the data lifecycle and understand the nuances of managing data at scale. Technically Versatile: You are as comfortable explaining ETL pipelines and Data Warehousing as you are teaching Statistical Analysis and Probability. Fascinated by Learning: You have a growth mindset and enjoy continuously developing yourself … skills, specifically focusing on Python and SQL, ensuring learners understand industry-standard engineering practices. You will teach the end-to-end data lifecycle, including ETL processes, data modelling, and building/managing data warehouses (using tools like DBT). You will cover essential Data Statistics, helping learners understand probability, distributions ...

solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation … data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Classification: Controlled Comprehensive understanding of data ...

solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation … data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Classification: Controlled Comprehensive understanding of data ...

through personally developed code, solution architectures and implementation recommendations Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches Extract business requirements from customers and translate them into a well-architected recommendation Develop and provide forward looking guidance and future state roadmaps Leverage known best … lead role for analytics projects for large enterprises Experience implementing and operating Snowflake centric solutions Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging ...

bring hands-on experience owning and delivering Azure-based data platforms (Databricks, Synapse), alongside strong technical capability in designing and implementing data ingestion pipelines (ETL/ELT) and introducing event-driven architectures (Kafka) to support scalable, real-time solutions.Our client offers a competitive salary of £120,000–£140,000 , plus … Kafka (essential). Extensive background in regulated industries (finance or banking preferred). Strong experience in large-scale data engineering projects , designing and developing ETL pipelines and leading cloud migration initiatives . Expertise in data migration from SQL Server to Azure Cloud Services . ...