26 to 50 of 398 ETL Jobs in England

open-source data engineering and scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and more »

Power BI, Azure Cloud Services (including PowerShell, Functions, Devops, and CI/CD Pipelines) Significant experience in Azure SQL Development and Data engineering, managing ETL and ELT pipelines Ability to work in a small dynamic team working across the data and analytics space University degree in a STEM subject HOW more »

and scalability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience in designing and implementing data pipelines, ETL processes, and data warehousing solutions. Proficiency in cloud platforms such as Azure, with hands-on experience in data lakes, Databricks, and Synapse Analytics. Strong programming more »

data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model more »

consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization tools such as Power BI more »

the different data architecture patterns: Data Fabric, Data Mesh, Data Warehouse, Data Marts, data modeling, ontologies & knowledge graphs, MicroServices • You have experience in implementing ETL data flows and data pipelines, and know one or more of the following tools: Informatica PowerCenter, SAS Data Integration Studio, Microsoft SSIS, Ab Initio, etc. more »

Athena, Redshift, Glue, EMR) * Strong AWS Data Solution Architect Experience on Data Related Projects * Java, Scala, Python, Spark, SQL * Experience of developing enterprise grade ETL/ELT data pipelines. * Deep understanding of data manipulation/wrangling techniques * Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit more »

Athena, Redshift, Glue, EMR) • Strong AWS Data Solution Architect Experience on Data Related Projects • Java, Scala, Python, Spark, SQL • Experience of developing enterprise grade ETL/ELT data pipelines. • Deep understanding of data manipulation/wrangling techniques • Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit more »

various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address more »

communication and collaboration skills. Preferred: Familiarity with scripting languages (Python, R) for data analysis. Exposure to machine learning concepts for predictive analytics. Understanding of ETL processes and data warehousing. Ability to work with stakeholders to understand business requirements and translate them into data solutions. Continuous learning mindset to stay updated more »

various teams to understand data requirements and implement solutions.> Optimizing data workflows and processes to enhance data quality, reliability, and performance.> Developing and managing ETL processes for data ingestion, processing, and transformation.> Implementing data governance practices to ensure data integrity, security, and compliance.> Monitoring and troubleshooting data infrastructure to address more »

responsible for accessing, validating, and querying data from various repositories using available tools. Build and maintain data integration processes using SQL Services and other ETL/ELT processes and scripting tools as well as ongoing requests and projects related to the data warehouse, MI, or fast-moving financial data. Designing … Architecting, building, testing, and maintaining data platform. Develop and support a wide range of data transformations and migrations for the whole business. Construct custom ETL processes: Design and implement data pipelines, data marts and schemas, access versatile data sources and apply data quality measures. Monitoring the complete process and applying … ML is a plus Experience with Azure SQL Database, Cosmos DB, NoSQL, MongoDB Experience with Agile, DevOps methodologies Awareness and knowledge of ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing Skills and Abilities Knowledge of Python, SQL, SSIS, and more »

maintain high-performance data systems that are foundational to driving business growth and success. Key responsibilities:Implementing scalable data architectures and systems.Developing and maintaining ETL (Extract, Transform, Load) pipelines.Managing data storage, backup, and recovery mechanisms.Writing complex SQL queries to extract data for analysis.Developing and implementing data security and privacy.Interfacing with more »

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »

and communicate how our data inputs and outputs affect different groups and identify areas Janes can provide additional value. Requirements Experience architecting and developing ETL pipelines solutions for the ingestion, transformation, and serving of data, as well as solutions for the orchestration of pipeline components (e.g. AWS Step Functions, Apache more »

platform in AWS. Utilise Agile methodologies to manage the development lifecycle. Design and implement data pipelines, ensuring data quality and integrity. Requirements: Proficiency in ETL tools such as SQL, SSIS, AWS, Lambda, and Python. Strong understanding of data warehouse concepts. Excellent problem-solving and communication skills. Benefits: Competitive salary and more »

Databricks, Power BI Strong in delivering solutions at scale, on time and within budget. Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes Please apply as directed more »

client sites. We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in: · Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. · Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure more »

pipelines, security and networking Expertise with data warehousing, data lakes and data lake houses Experience with master data management software and technologies Experience with ETL technologies including SQL Server, SSIS, Azure Data Factory Working knowledge of agile development, CI/CD, test and data automation Working knowledge or experience of more »

cloud computing concepts, including infrastructure as code, serverless computing, and containerization.Expertise in designing scalable and resilient architectures for data-intensive applications.Familiarity with data modeling, ETL processes, and data integration techniques.Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java).Strong knowledge of security principles and best practices for more »

support organizational growth. Essential Requirements: Minimum 5 years of experience in a similar role. Proven track record in designing and building data infrastructure and ETL pipelines. Proficiency in Azure Platform, including Data Lake, Data Factory, Synapse, Logic Apps, and Function Apps. SQL Server, including Store Procedures, T-SQL, or similar more »

concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data-intensive applications. Familiarity with data modeling, ETL processes, and data integration techniques. Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java). Strong knowledge of security principles and best more »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

guide and motivate junior team members Deep understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, strong understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand messages Strong story telling skills, ability to influence decision more »