101 to 125 of 413 Permanent ETL Jobs in the UK

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »

Ability to think strategically and assess options across short, medium, and long-term timeframes. Experience with data technologies including MS SQL, data warehousing, and ETL processes. Familiarity with microservices architecture, APIs, and integration patterns. Knowledge of DevOps practices and CI/CD pipelines. Understanding of security standards and optimal practices more »

analyst, some of the data tasks you will work on are: Participating in data discovery workshops to develop proprietary supply chain-specific datasets Writing ETL code in Python Updating spreadsheets in Excel Connecting different services like ChatGPT and Salesforce on Google Cloud Performing data analyses in SQL (BigQuery) Building dashboards 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 »

a strategic vision for data management information reporting within our organisation. Responsibilities Develop, support, and our business reporting platform, including DataBlend for integrations an ETL, along with gathering requirements for business reporting across a range of systems. Create and maintain reports and dashboards in PowerBI to support business decisions and more »

customer-centric environment In depth expertise in data management, data architecture, and data governance and tools Technical familiarity with data modeling and database technologies (ETL processes, DB staging, data platforms) as well as data tools (Power BI, Databricks, Palantir) (Re)Insurance business understanding (specifically underwriting and claims processes) Excellent verbal 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 »

a 50/50 split between BI reporting/analysis and data ingestion, and would suit someone with a couple years experience across Python , ETL, (AWS, Azure or GCP) and any BI tool (PowerBI, Tableau, Qlik, QuickSight, or GoodData - it's more about the transferable skills!). This is an more »

Python and its data processing, analysis, and visualization libraries Experienced with SQL and Timeseries databases Skilled in AWS services: S3, EC2, RDS Knowledgeable in ETL tools like Airflow Proficient in Git, CI/CD, testing tools, and documentation best practices Adheres to quality engineering practices including TDD and BDD Nice 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 »

Devise practical solutions to business challenges, drawing from industry experience. Spearhead engineering collaboration with actuarial subject matter experts. Guide team members in developing robust ETL processes. Uphold exemplary coding and technical standards. Showcase technical prowess in Python, SQL, and JSON. Implement and oversee a robust CI/CD process. Enhance more »

a genuine impact on a growing business. Requirements: Strong experience with Python Strong SQL Experience working with REST Microservices Strong experience building and managing ETL Pipelines Exposure to modern cloud technologies - (Azure, GCP, AWS etc) Strong formal education - ideally in Computer Science If this sounds of interest, then please do more »

BI. Work closely with stakeholders to understand their needs, objectives, and requirements. Complete end-to-end development of Power BI dashboards which includes the ETL process required to gather and clean data from various data sources, ensuring data integrity and accuracy. Coordinate with other professionals to implement changes and new more »

technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern BI platforms like Looker, Qlik, Domo, or Power BI. Please contact Joely Callaghan more »

III, CCAR, DFAST, and CECL. Technical Skills : Proficiency in programming languages (e.g., Java, JavaScript, SQL), data modeling, and integration technologies (e.g., web services, APIs, ETL). Communication and Collaboration : Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Project more »

and data integrations by monitoring the performance of reporting applications and managing upgrades and developments. Key Skills: Experience working with Power BI. Familiar with ETL tools and principles, including Azure, Synapse, and Fabric environments. Proficient in developing complex BI reports utilising multiple data sources and joins. Comprehension of the necessity more »

developers to understand project requirements and deliver high-quality solutions. Data processing and analysis: Develop scripts and tools for data extraction, transformation, and loading (ETL) processes, as well as for data analysis and visualization. Optimize performance: Ensure the performance, quality, and responsiveness of applications by identifying and fixing bottlenecks and 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 »

source control management, issue tracking tools and branching strategies. Track record of bootstrapping projects in new business domains. Understanding and experience of data engineering, ETL and data modelling. Working experience of relational databases, either PostgreSQL, MySQL/MariaDB. Experience and understanding of deploying software in a cloud environment, either GCP more »

frameworks and platforms Agile and Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino or Presto Graphql Good 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 »

development - formal or informal Experience Essential Significant recent experience of managing a data warehouse within the NHS. Extensive hands-on experience of developing advanced ETL solutions using T-SQL, including development and implementation of tabular and dimensional models. SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Clear understanding more »

sprint team, helping to develop products from design to testing to release Strong SQL skills with experience using various data warehouses and the related ETL-style processes A familiarity with a range of BI tools (PowerBI, Tableau, Mode Analytics, etc) and web analytics packages (Google Analytics, Mixpanel, Amplitude, etc) An more »