101 to 125 of 400 Permanent ETL Jobs in England

performance Qualifications Who we're looking for: Relevant professional qualifications in Data Engineering or related specialism Proficient in data engineering practices including ELT/ETL, database management systems, data integration, and data quality Expertise in a variety of database technologies and data warehousing paradigms Familiarity with cloud platforms, CDC and more »

organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as 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 »

key stakeholders and other business units to understand business needs and gather requirements. Required Experience Track record of designing and building data infrastructure and ETL pipelines Experience with Azure Platform including Data Factory, Synapse, and Data Lake DB development experience with SQL Software development experience in relevant languages like Python 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 »

using Azure and Snowflake, enhancing data capabilities for analytics and science.What you need:3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing data lifecycle.Strong Python coding experience.2+ years of commercial experience developing in Snowflake.Good understanding of cloud principles (ideally Azure but flexible)Data visualisation more »

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

and ability to promote solutions to production via machine learning engineering Hands-on knowledge of NoSQL and relational Databases, alongside relevant data modelling techniques ETL/ELT tooling Knowledge of DBT, Luigi or similar orchestration tooling of managing and developing a team in an agile environment Preferred Software development of more »

Bachelor’s and/or Master’s degree or equivalent focusing on Computer Science, Computer Engineering or a related technical discipline. • Strong experience with ETL tools such as Informatica, Unix shell scripting, Job scheduling using Autosys or similar tech stack • Strong experience with SQL Server, Azure SQL server to help more »

high availability and disaster recovery scenarios Designing robust implementation, migration, and test plans Database administration Performance optimisation – Queries, indexing, database design, storage Data integration – ETL/ELT Data security Proven troubleshooting skills Scalability Maintenance and operations Licensing What you’ll need Minimum 2 years’ experience with SQL Server 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 »

departments from e-commerce and customer analytics, through to manufacturing and forecasting. What you'll need: Experience of providing insight analytics Data Warehouse and ETL experience Ability to speak to stakeholders up to C-suite. Visualisation experience (Looker, Qlik, or Power BI) Data Pipeline experience (Python, BigQuery, or SQL) What 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 »

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 »

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 »

big data technologies such as Hadoop and Spark. Experience with data warehousing technologies such as Redshift, Snowflake, or BigQuery. Experience with data pipeline and ETL tools such as Apache NiFi, Airflow, or Glue. Knowledge of data governance and security best practices. Strong problem-solving and analytical skills. Ability to work more »

on (phone number removed). Keywords: Azure Data Factory, Azure Databricks, Databricks Lakehouse, MS Power BI, Power BI, Spark, Delta Lake, T-SQL, DevOps, ETL, Data Modelling, DAX, Data Warehousing, London more »

a call on 0191 3387551. Keywords: Azure Data Factory, Azure Databricks, Databricks Lakehouse, MS Power BI, Power BI, Spark, Delta Lake, T-SQL, DevOps, ETL, Data Modelling, DAX, Data Warehousing, London more »

processing efficiency and proposing solutions for improvementsSkills and ExperienceExcellent knowledge of SQLKnowledge of Python (other languages might be equivalent)Experience in creating and maintaining ETL pipelinesKnow your way around Unix based operating systemExperience working with any major cloud provider (AWS, GCP, Azure)Fluency in EnglishExperience using Apache AirflowExperience using DockerExperience more »