1 to 25 of 61 DemandTrendPermanent ETL Jobs in Central London

drift, and anomalies using Azure Monitor or other observability tools. * Schedule and automate model retraining pipelines to maintain performance over time. 3. Data Engineering & Preprocessing * Develop and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL. * Prepare and preprocess large datasets to ensure data quality and readiness for ML modelling and analytics workflows. 4. More ❯

Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical More ❯

data products using technologies like Snowflake, Power BI, Python, and SQL. Your work will enable self-service analytics and support data governance across the business. Key Responsibilities: Develop robust ETL/ELT pipelines and dimensional models for BI tools Define and implement data quality, ownership, and security standards Empower business teams with intuitive, self-serve data models Own data products More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for More ❯

skills, Experience in risk management (Market, Credit, Regulatory). Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and More ❯

skills, Experience in risk management (Market, Credit, Regulatory). Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and More ❯

the favour by offering unparalleled career progression opportunities along side training courses and certifications. Key Requirements Proven experience with AWS services and tools. Strong knowledge of data modeling and ETL processes. Proficiency in programming languages such as Python or SQL. Excellent problem-solving skills with a proactive approach. Ability to communicate effectively within a team. If you are a skilled More ❯

of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - (url removed More ❯

a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems ETL Tools – has strong knowledge of ETL tools essential for building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing More ❯

a strong knowledge of data visualisation tools knowledge such as Power BI, Tableau, QlikView etc Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems ETL Tools – has strong knowledge of ETL tools essential for building data pipelines effectively Data Architecture – knowledge of data architecture, and must work with data architect to optimise solutions Cloud Computing More ❯

setting Strong command of DAX (CALCULATE, SUMX, VAR, FILTER, REMOVEFILTERS, time intelligence) Proficiency in SQL and solid understanding of tabular/star schema models Experience working with cloud platforms, ETL tools, and performance tuning Confident leading sessions with both technical and non-technical stakeholders Why Apply his is a key role within a growing analytics function, offering the chance to More ❯

setting Strong command of DAX (CALCULATE, SUMX, VAR, FILTER, REMOVEFILTERS, time intelligence) Proficiency in SQL and solid understanding of tabular/star schema models Experience working with cloud platforms, ETL tools, and performance tuning Confident leading sessions with both technical and non-technical stakeholders Why Apply his is a key role within a growing analytics function, offering the chance to More ❯

experience in a Data Engineer role and a strong academic background Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with ETL processes and data integration from various sources. Hands-on experience with visualisation tools like Google Data Studio or similar tools. Excellent problem-solving skills with the ability to derive actionable More ❯

informed decisions. With the platform foundation already in place, your mission will be to scale, optimise, and operationalise it — from designing new integrations to building tools and processes that extract maximum business value. Key Responsibilities Develop and maintain a roadmap for expanding the Azure data warehouse to support advanced reporting and analytics. Enhance and maintain the existing environment, embedding data … engineering best practices. Design and implement ETL workflows, transformations, and data mapping solutions. Monitor and uphold data quality, privacy, and compliance with all relevant regulations. Improve performance and scalability while researching emerging data technologies. Act as a go-to expert for available datasets and collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering More ❯

informed decisions. With the platform foundation already in place, your mission will be to scale, optimise, and operationalise it — from designing new integrations to building tools and processes that extract maximum business value. Key Responsibilities Develop and maintain a roadmap for expanding the Azure data warehouse to support advanced reporting and analytics. Enhance and maintain the existing environment, embedding data … engineering best practices. Design and implement ETL workflows, transformations, and data mapping solutions. Monitor and uphold data quality, privacy, and compliance with all relevant regulations. Improve performance and scalability while researching emerging data technologies. Act as a go-to expert for available datasets and collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering More ❯

AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a More ❯

translating unclear business needs into precise technical requirements. Proficiency in SQL, with experience handling complex datasets and unstructured data. Strong problem-solving skills and stakeholder management expertise. Knowledge of ETL, cloud-based data platforms (e.g. Snowflake), and financial KPIs. Familiarity with Agile delivery methods and Azure DevOps. Why You’ll Love It: This isn’t just about crunching numbers. It More ❯

translating unclear business needs into precise technical requirements. Proficiency in SQL, with experience handling complex datasets and unstructured data. Strong problem-solving skills and stakeholder management expertise. Knowledge of ETL, cloud-based data platforms (e.g. Snowflake), and financial KPIs. Familiarity with Agile delivery methods and Azure DevOps. Why You’ll Love It: This isn’t just about crunching numbers. It More ❯

of Kafka, Confluent, Databricks, Unity Catalog, and cloud-native architecture. Skilled in Data Mesh, Data Fabric, and product-led data strategy design. Experience with big data tools (e.g., Spark), ETL/ELT, SQL/NoSQL, and data visualisation. Confident communicator with a background in consultancy, stakeholder management, and Agile delivery. Want to hear more? Message me anytime. Linked In: Ciaran More ❯