101 to 125 of 404 Permanent ETL Jobs in England

and translate them into analytical solutions. Develop and maintain BI reports, dashboards, and visualisations using tools such as Power BI, Tableau, or similar platforms. Extract, transform, and load (ETL) data from various sources to create centralised datasets for analysis. Perform data analysis to identify trends, patterns, and opportunities for improvement. more »

Manage and execute data-focused projects using internal analytic platform, driving cost optimisation opportunities. Provide expertise in AWS monitoring and optimisation, optimising databases and ETL pipelines. Utilise programming languages such as Python and PySpark to transform big data into manageable datasets. Contribute to the development of interactive dashboards and provide more »

role would be a great fit for you. As Data Engineer, you will: Design, develop, and maintain data processes on the Azure platform. Create ETL processes to collect, cleanse, and transform data into usable formats. Support data migrations by extracting data from source systems, implementing data mappings and transformations, and more »

to get new team members certified and help develop their data skills Key Responsibilities: Assist in gathering and analyzing business requirements. Develop and maintain ETL processes to ensure data integrity. Design and implement data models to support reporting and analytics. Create intuitive dashboards and visualizations to communicate key insights. Conduct more »

SQL Managed Instances o Database schema design and implementation -Relational databases, T-SQL, Stored Procedures, Functions and Views, Indexes, SQL jobs and alerts. o ETL Development and Data Warehousing experience - SSIS, SSRS, Azure Data Factory o CI & CD including Azure DevOps pipelines. o Experience in high availability databases/servers more »

experience in data analytics. Strong understanding of data science and machine learning. Proficiency in data preparation, cleansing, and transformation. Knowledge of data integration and ETL processes. Skills in Excel, Python (3+ years), SQL (3+ years), MongoDB, API, JSON, and Power BI. Strong communication and project management skills. Nice To Haves more »

resourceful, independent and have a strong attention to detail Ability to face off to senior stakeholders and key decision makers Strong understanding of Data ETL tools (e.g. Alteryx) - nice to have Insurance London, UK - hybrid up to £50K Permanent more »

SQL, Python and AWS/Redshift to build features into the analytical pipelines, driving the advanced analytics techniques Design, develop and maintain data pipelines, ETL processes, and data warehouses to ensure data integrity and reliability Focused on upskilling the team through 1:1 meetings, mentoring, coaching, and performance reviews Devising more »

and security standards. Establish and uphold best practice standards, design patterns, and documentation for data management and engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows for seamless data transfer across systems and platforms. Develop system designs for integrating and managing data effectively. Experience and Qualifications more »

s growth plans Key Requirements 1+ year experience Power BI/DAX Advanced Excel SQL Excellent communication skills & stakeholder management Desirable Skills Azure DWH ETL Power Automate Python Insurance/Finance experience Benefits 4% Pension Contributions Full Mentorship & Training Vitality Health Insurance 29 Days Holiday If you're driven and more »

is on the lookout for · 3+ years of Data engineering · 3+ years of experience with SQL Development · Experience maintaining SQL Datawarehouse · Extensive experience with ETL/SSIS packages · Azure database experience · Dealings with ODBC connections to retrieve data. · Knowledge of best practices when dealing with relational databases · Capable of configuring more »

emissions? This B-Corp company are seeking a hands-on Senior Data Engineer to enhance their per-existing architecture and implementing reliable, and scalable ETL pipelines with growth at the heart of your thinking. You are the right person for this role if you are committed to working within a more »

the production of technical publications Specialist knowledge of statistics, database design and BI technology Specialist knowledge of Business Intelligence technology and architecture, such as ETL, SQL, SSIS, QlikView, Qlik Sense, & Power BI Good communication skills and ability interface between technical and wider business What you'll get in return This more »

whilst following good practices (such as normalisation) Excellent knowledge of the SQL Database Engine Strong T-SQL knowledge Strong experience using SSIS for diverse ETL processes (import/export data through files, emails, SFTP, APIs etc) Excellent performance tuning skills (experience of Query Tuning, Index Optimisation, Locking etc.) Experience with more »

so you must be eligible. Experience of AWS tools (e.g Athena, Redshift, Glue, EMR) Java, Scala, Python, Spark, SQL Experience of developing enterprise grade ETL/ELT data pipelines. NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. Snowflake Data Warehouse/Platform Experience of working with CI more »

good knowledge of their respective language and writing production ready code that will be deployed on the cloud. 𝐑𝐨𝐥𝐞: Development of end-to-end ETL Data Pipelines Architect and build Market Data processing systems that will deal with Tick Data, Order Book data and Trade Data. Working collaboratively with the more »

implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines Platform administration: Help set up accesses, infrastructure, create new storage, enforce best practices Production: Help the preparation of the data science pipelines, interact more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

management of the systems for collecting, storing, and analysing large volumes of data. They will take responsibility for creating data pipelines, optimising databases, implementing ETL processes, and ensuring data quality and governance. The Senior Data Engineer will have skills predominately in Azure - with a solid background in on premises, before more »

Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »

of Data Engineering Proficiency in AWS, data warehousing (Snowflake, Databricks, Redshift), big data frameworks (Spark, Kafka), container orchestration platforms (Kubernetes), and data integration/ETL tools. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.. Strategic thinker with a consultative mindset and more »

CI/CD pipelines within Azure DevOps; Working experience of database development methodologies, including hands on experience with SQL; Working experience and automation of ETL processes and tools such as SSIS, ADF, Azure Synapse; Highly scalable data processing platform design and implementation experience; Understanding of Infrastructure as Code frameworks e.g. more »