251 to 275 of 716 ETL Jobs in the UK

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report More ❯

in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience designing/building/maintaining ETL pipelines Data modelling experience to forecast and analyse Data warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back More ❯

maintain both front-end and back-end components for our SaaS security platform, with particular emphasis on data processing and analytics systems Data Engineering: Build and optimize data pipelines, ETL processes, and real-time data streaming systems to support security analytics and intelligence. Data Architecture: Design and implement scalable data storage solutions, including databases, data warehouses, and distributed data systems. … best practices, and contribute ideas to the development of new security features. Key Qualifications: 1-2 years of experience in software development. Experience with data pipeline development and optimization (ETL/ELT processes). Solid understanding of distributed systems, databases,(PostgreSQL, Databricks, Clickhouse, ElasticSearch), and performance tuning. Familiarity with modern web frameworks and front-end technologies (React, Vue, Angular, etc. More ❯

hands-on development (C# and/or Python) Strong background in hedge fund, asset management , or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll More ❯

This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills More ❯

This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills More ❯

BI solutions. Strong knowledge of Power BI architecture, data modeling, DAX, and AML. Proficient in designing and optimizing SQL queries, stored procedures, and data warehouses. Hands-on experience with ETL tools and data integration processes. Familiarity with data governance, security, and compliance standards. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. We have an amazing More ❯

data modelling, database design, SQL, Stored Procedures, MDX, and APIs. Good knowledge and experience of reporting technical stack MS SQL Server, SSRS, PowerBI, SSAS, PostgreSQL. Knowledge of integration and ETL technologies Informatica ETL, Spring-Batch and SSIS. Good experience of managing software development teams, process and tools. Good knowledge and experience of software engineering design, development, build, and test process More ❯

Strong proficiency in SQL and Snowflake for data manipulation and transformation. Experience working with Power BI for dashboard development and data visualization. Solid understanding of data validation, cleansing, and ETL processes. Excellent communication and stakeholder management skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Experience Background in insurance, finance, or pricing analytics. Familiarity with More ❯

equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes). 2. Data & Infrastructure Build and maintain scalable data pipelines (ETL/ELT) and data lakes/warehouses. Establish best practices for data labeling, versioning, and governance. Implement MLOps processes: CI/CD for model training, automated testing, model drift detection More ❯

finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Bachelor's degree or equivalent - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience - Experience demonstrating problem solving and root cause analysis - Experience with reporting and Data Visualization More ❯

Compliance: Basic understanding of data security and ethics policies. Data modelling, cleansing, and enrichment Data cleansing and standardisation: Experience resolving data quality issues. Data integration tools: Basic experience with ETL tools and ensuring data interoperability. Collaboration: Working with data professionals to improve practices. Visualisation requirements: Ability to understand and create suitable visual data representations. Visualisation tools: Experience with Tableau, Power More ❯

our customer "spokes". Help embed Data Quality checks, validations, and alerting mechanisms across all data ingestion processes. Partner closely with our Data Engineering Hub in the integration of ETL processes into the Enterprise Data Model platform, ensuring data integrity and seamless flow. Conduct diagnostic data analysis and root cause investigations to identify trends and opportunities for improving business processes More ❯

7+ years of experience as a Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and More ❯

clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in. Required Qualifications: Ability to showcase ETL strategy, including solution design, constraints, loading methods, security, and governance Snowflake experience including a dvanced SQL skills to support data warehouse operations and write efficient code that results in less More ❯

best practices. Proficiency in SQL and data querying for data validation and testing purposes. Hands-on experience with Snowflake, Airflow or Matillion would be ideal Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases, and data modelling concepts. Excellent analytical and problem-solving skills with the ability to identify data quality issues More ❯

monitor robust data pipelines and transformative models using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational efficiency Maintain and optimise our Customer Data Platform (CDP, ensuring effective data collection, unification, and routing Administer and support More ❯

Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and More ❯

Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and More ❯

Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and More ❯

Banking product and how our underlying data models will unlock more insights for our team and more value for our customers. You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and More ❯

new solutions/designing innovative methods, systems and processes. • Ability to handle multiple competing priorities and projects in a fast-paced environment. PREFERRED QUALIFICATIONS 1. Experience using SQL to extract data from a database or data warehouse and building ETL pipelines 2. Visualization tools experience: Quicksight/Tableau or similar tools 3. Scripting Experience: R/Python/C++ 4. More ❯

years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - 1+ years of tax, finance or a related analytical field experience PREFERRED QUALIFICATIONS - Experience … in Amazon Redshift and other AWS technologies - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience in SCALA and Pyspark Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during More ❯

of Amazon data. Key job responsibilities CORE RESPONSIBILITIES: Be hands-on with ETL to build data pipelines to support automated reporting Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift. Model data and metadata for … ad-hoc and pre-built reporting Interface with business customers, gathering requirements and delivering complete reporting solutions Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support … and improve efficiency. Become a data detective! ensuring data availability and performance BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED More ❯