76 to 100 of 490 ETL Jobs in the UK

of team, including ways of working, engineering principles, data governance and best practice. Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine and transform data from on-prem and cloud-based sources. Ensure that all data more »

of team, including ways of working, engineering principles, data governance and best practice. 3.Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine and transform data from on-prem and cloud-based sources. 4.Ensure that all data more »

in front-end visualisation tools - Power BI Experience with Azure Databricks Strong skills in data storytelling and dashboard creation Understanding of backend data processes (ETL, data integration) Experience with SQL, Python, Git Additional skills: Excellent communication and stakeholder management skills Ability to translate complex data into actionable insights. Strong analytical more »

Azure. Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. Strong SQL and Python skills. Experience with data modeling, ETL processes, and data warehousing. Knowledge of big data technologies such as Spark and Hadoop is a plus. Excellent problem-solving skills and attention to detail. more »

and data transformation.Strong experience in managing and leading data engineering teams.Strong proficiency in Scala, Python, SQL, Snowflake and DBT.In-depth understanding of data modelling, ETL processes, and data warehousing concepts.Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.Excellent problem-solving more »

to work with a team of experts who are passionate about harnessing data to create impactful solutions. Key Responsibilities: • Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration across various systems. • Utilize Python for data manipulation, transformation, and automation tasks. • Collaborate with … a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and experience with relational databases (e.g., PostgreSQL more »

to work with a team of experts who are passionate about harnessing data to create impactful solutions. Key Responsibilities: • Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration across various systems. • Utilize Python for data manipulation, transformation, and automation tasks. • Collaborate with … a Data Engineer or in a similar role. • Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). • Extensive experience with ETL tools and processes. • Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Proficient in SQL and experience with relational databases (e.g., PostgreSQL more »

to work with a team of experts who are passionate about harnessing data to create impactful solutions. Key Responsibilities: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient data flow and integration across various systems. Utilize Python for data manipulation, transformation, and automation tasks. Collaborate with … a Data Engineer or in a similar role. Strong proficiency in Python and experience with relevant libraries (e.g., pandas, numpy). Extensive experience with ETL tools and processes. Familiarity with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficient in SQL and experience with relational databases (e.g., PostgreSQL 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 »

Python (JSON format). - Essential Proven work experience as a Data Engineer or in a similar role Experience with data modelling, data warehousing and ETL frameworks Proficiency in working with relational databases (e.g., Oracle, PostgreSQL), Parquet/Delta files and big data technologies (e.g. Synapse, Hadoop, Spark, Kafka) Knowledge of 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 »

Job details: Cloud technologies (preferably GCP/Azure/AWS) Python programming ETL, ELT development in classical DWHs (Oracle, DB2, Teradata) PL/SQL, data modeling Knowledge of Oracle 12c, TMSP AAX² Development in Microsoft Power BI environment, MS-BI suite CI/CD with GitLab Active communication in English more »

Reporting and ETL Developer, Dynamics 365, D365, D365 F&O, D365 Consultant, AX 2012, Dynamics AX, Microsoft power BI, SSRS, ETL, Reporting developer, SQL, Azure synapse, Data Lake, Lake House, Delta Lake, Data verse, DAX, BI reports, Paginated Report Builder, South London, Hybrid, £60-£75K Our end user client requires … a Reporting and ETL Developer to join them on a permanent basis to work on their D365 FO implementation. As a Technical Resource, you will play a pivotal role in supporting analytics and reporting efforts within Dynamics 365. It will be a Hybrid role with a requirement to be onsite … Analytics and Reporting: Collaborating with cross-functional teams to identify reporting requirements, design dashboards, and generate insights that drive business decisions. SQL Experience for ETL: Designing and executing Extract, Transform, Load (ETL) processes using SQL to facilitate data integration and reporting. Azure Resource Procurement: Procuring resources in Azure Portal to more »

Experience as a Business Intelligence Developer or similar role SQL Experience/Proficient in SQL coding. Understanding of data warehousing concepts, data modeling, and ETL processes. Understanding of finance and accounting principles We celebrate diversity and encourage applicants from all whatever their background and/or disability. We want you more »

technologies (e.g., Kafka). Knowledge of cloud services and architecture (AWS, Azure, or GCP), particularly data storage and computing services. Experience with data integration, ETL processes, and familiarity with data warehousing solutions Proficiency in Python with a focus on data-centric programming. Experience with machine learning algorithms and data modelling more »

quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good 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 create a more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

be a SPOC for all technical discussions across industry groups. • Excellent design experience, with entrepreneurship skills to own and lead solutions for clients • Excellent ETL skills, Data Modeling Skills • Excellent communication skills • Ability to define the monitoring, alerting, deployment strategies for various services. • Experience providing solution for resiliency, fail over 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 »

knowledge in distributed systems, cloud architecture, and data pipelines. Proficiency in Python programming (knowledge of Scala or Rust is a plus). Familiarity with ETL principles in contemporary data applications (Dagster, Airflow, Perfect). Familiarity with AWS services such as Glue, Redshift, Athena, and S3. Proficiency with Terraform, Kubernetes, and 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 »

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 »

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 »

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 »

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 »