Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
Data Lake Storage, Azure Databricks, and Azure SQL Database. Proficiency in SQL and programming languages like Python or Scala. Experience with data modeling andETL/ELT concepts. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Data Engineer – London more »
cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with more »
our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »
Sunderland, Tyne and Wear, North East, United Kingdom Hybrid / WFH Options
SCS Sofas
Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems andETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »
various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address more »
capabilities and support our Finance business partners in their decision-making processes. Key responsibilities include: Design, build, and maintain efficient, reliable data pipelines using ETLand ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation Use Snowflake for data storage, processing, and analytics. Optimise more »
impact on internal stakeholders and customers is understood Qualifications Who we're looking for: Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming Experience of Kimball modelling techniques to design databases & data warehousing solutions more »
model to meet new business requirements2+ years managing an analytics engineering team using a scrum/agile methodologyExperience working with commercial data warehouses (Redshift), ETL tools (Dbt), data visualization (Python notebook, Thoughtspot, Looker, Tableau, Hex), and Data Dictionary tools (Atlan)Demonstrated experience leading 2 or more multi-department analytics projects more »
Modelling, Data Point Modelling etc.), data architecture design patterns and paradigms (e.g. data lakehouse, medallion architecture, data vault, data mesh), data integration and engineering (ETL, ELT, CDC) for enterprise scale analyticsExperience designing data pipelines, data lakes and data warehouses to support data storage (SQL, NoSQL), processing analytics and visualisation solutions more »
to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, andload data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »
that provide actionable insights for various business units. Collaborate with stakeholders to gather requirements and translate them into effective data visualizations. Utilize SQL to extract, transform, andload (ETL) data from various sources into Power BI and Azure Synapse. Develop and maintain data models and datasets within Power BI and … years of experience in data analytics and business intelligence, with a strong focus on Power BI. Proficiency in SQL for data extraction, transformation, and loading (ETL). Experience with Azure Synapse Analytics or similar cloud-based data warehousing solutions. Strong understanding of data modeling, data visualization, and dashboard design principles. more »
functional capabilitiesProven track record of delivering value through data products in a fast-paced, agile environment.Extensive knowledge of data principles, architecture/modeling, ingestion, ETL principles and practicesExtensive knowledge of Azure based big data platform & exposure to other clouds such as GCP is desirable.Experience in architect and design data platforms more »
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 andtransform data from on-prem and cloud-based sources. Ensure that all data more »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
Datatech
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 andtransform data from on-prem and cloud-based sources. 4.Ensure that all data more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Change Digital – Digital & Tech Recruitment
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 resources like Data Factory, Databricks, Data Lake, SQL Database, and SQL Data Warehouse. Senior-level experience in data engineering, including designing data models, ETL pipelines, and conducting testing/QA. Experience with Azure DevOps, including best practices in source control, CI/CD, and change control. Why Join Us more »
data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model more »
Greater Bristol Area, United Kingdom Hybrid / WFH Options
Anson McCade
consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization tools such as Power BI more »
Manchester Area, United Kingdom Hybrid / WFH Options
Forsyth Barnes
reliable within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of more »
Preston, Lancashire, United Kingdom Hybrid / WFH Options
Forsyth Barnes
within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: l Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. l Proficient in data modeling and data warehousing. l Multiple more »
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Reed Technology
of the below: - Cloud technology (Azure or AWS) - this organisation are migrating to cloud soon, so any experience here would be great - Data engineering (ETL) - designing and developing processes, both on-premise and maybe even cloud - Exposure to BI Tooling - Power BI would be great, however other tool are considered 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 »
opportunity 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 data scientists … experience as 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, MySQL).Exposure 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 »