1 to 25 of 43 ETL Jobs in the Thames Valley

using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools like Informatica, and scalable data platforms. Experience with Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Knowledge of deploying AI More ❯

CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long More ❯

CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long More ❯

CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long More ❯

data-driven decision-making and contribute to the success of our data-driven initiatives. Key Responsibilities: Data Integration: Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in … and deliver high-quality data solutions. Automation: Implement automation processes and best practices to streamline data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor … working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data modeling, data warehousing, and data transformation techniques. Familiarity with data quality and data governance More ❯

Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. Good understanding of More ❯

to collaborate on Design of our data architecture and interpret into a build plan. Leading the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs. Delivering large-scale data processing workflows More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

optimisation. Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Experience with cloud data warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their More ❯

technologies to drive innovation. Qualifications: Proven experience as a Technical Lead or similar role, with a focus on Databricks. Strong expertise in data engineering, ETL processes, and data warehousing. Proficiency in programming languages such as Python, Scala, or SQL. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data More ❯

regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with More ❯

regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with More ❯

regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with More ❯

regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with More ❯

Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Desirable: Experience with cloud data warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their More ❯

English with good written and verbal communication skills. Desirable (bonus points for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI More ❯

Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive downstream analytics and trading strategies. Uptime & Monitoring Implement health checks, alerting, and observability (metrics, logs, tracing) to maintain More ❯

these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What will be your Key Responsibilities? Strategic Data Management Execute the vision, strategy, and roadmap for … management, data integration, and data engineering best practices. Proficiency in SQL, Python, or other data-focused programming languages. Experience with big data technologies and ETL processes. Project management skills with the ability to operate in Agile framework. Good communication skills, with a track record of aligning technical solutions to business More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

settings. Hands-on experience with master data management , ideally Profisee MDM. Solid background in data quality surveys and standards. Skilled with tools like SQL , ETL platforms , data modeling , and data visualisation tools. Strong technical problem-solving chops with an eye for patterns and anomalies. Proven track record of working cross More ❯

working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such as SQL Server, NoSQL, etc. Experience with ETL processes, data pipelines, and DevOps practices This role is hybrid, requiring occasional presence in one of their UK offices in Scotland or England to maintain More ❯