101 to 125 of 418 ETL Jobs in England

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 »

for: Strong experience in Relational Database Management Systems to query large and complex databases (with a specific experience of SQL Server 2014+) and advanced ETL/ELT experience to change and develop data pipelines (SSIS 2012+). Knowledge of other tooling like VS Code, Informatica or similar for data management 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 »

a modern cloud based data stack further developing the estate. You'll work closely with data scientists deploying models, developing scalable data warehouses, designing ETL pipelines loading data into Snowflake and solving data engineering problems. You'll be impactful to ensure that the business get the most out of Snowflake. 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 »

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 »

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 »

marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction); setting and meeting detailed timelines and expectations while executing projects more »

to stabilise the current operating environment. Liaising with other areas across the business to help define requirements for new projects, including both pipeline and ETL requests. Implementing and owning the monitoring on key processes. Core Skills/Competencies Languages - Expert in SQL (Postgres, Athena Presto SQL) and proficient in using more »

frameworks and industry standard models (e.g., DAMA) and architecture frameworks (e.g., TOGAF, Zachman) is desirable. Proven experience with data integration tools and technologies (e.g., ETL, APIs, middleware). Proficiency in CRM systems (e.g., Salesforce, Microsoft Dynamics) and their integration with data architectures. Comprehensive knowledge of data modelling, data design principles more »

preferred 2-3 years experience working in a Consulting, Strategy, or Data Analytics role Demonstrated knowledge of Excel (advanced, will be tested), SQL (PostgreSQL), ETL pipelines, PowerBI (or other visualisation software). Strong communication and collaboration skills. Ability to translate and visualise data in a concise and accurate way thats more »

pipelines. As well as being an expert in cloud platform, you’ll have a strong background in Data Ingestion and Integration, designing and implementing ETL pipelines on various technologies, Data Quality monitoring and a rounded understanding of data operations. Aviva believes strongly in experimentation leading to industrialisation and we are more »