76 to 100 of 652 ETL Jobs in England

to RfP response. Ability to 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, monitoring etc. Good to have More ❯

focused but other Cloud technologies such as Oracle andAmazon Web Services (AWS) are usedin FCDO. The successful candidates will build complex data pipelines (both Extract Transform and Load ETL and Extract Load and Transform ELT ) in the Azure cloud platforms. You will work with structured and unstructured data, data lakes, data warehouses to service operational and analytical business needs. The More ❯

programming languages such as Python and R. Experience working with cloud-based data platforms, such as Snowflake or Databricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing More ❯

programming languages such as Python and R. · Experience working with cloud-based data platforms, such as Snowflake or Databricks is preferred. · Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. · A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. · Technical expertise in data mining, data auditing More ❯

and management Proficient SQL and/or Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation , preferably using Databricks Strong foundation in Data Warehousing architectures and dimensional modeling Familiarity with batch processing from relational database sources Communication & Collaboration Skills of the Data More ❯

Data Engineering applications in the Snowflake Environment • Displays in-depth knowledge of engineering methodologies, concepts, skills and their application in Snowflake and related technologies. • Develop advanced Snowflake SQL and ETL code for support of FreeWheel's BI Systems • Utilize Snowflake standards and best practices • Work closely with internal stakeholders and business partners to understand their needs and transform them into … is a plus). • Knowledge of Microsoft Fabric and Microsoft SQL Server is a plus • Experience with a scripting language (Python or R). • Experience with Fivetran or other ETL Tools is a plus • Experience in Advertising Technology is a major plus. • Experience with FreeWheel Data and Products (MRM, Beeswax, Strata) is a plus • Experience with Atlan or other Data More ❯

ll play a pivotal role in shaping how vital geospatial and property data is structured, visualised and applied. What You’ll Be Doing: Analyse large-scale, complex datasets to extract insights, trends, and improvement opportunities Create impactful dashboards, reports, and data visualisations to support business and customer decisions Collaborate with Data Engineers, PMs, and stakeholders to support the development of … ArcGIS, etc.) Advanced Excel skills; experience with Python or R is a strong plus Strong communicator – able to explain technical insights to non-technical audiences with clarity Understanding of ETL processes, data quality assurance, and working closely with Data Engineers Comfortable operating in agile teams and delivering in iterative cycles Cloud knowledge (especially AWS) is a plus Why Apply? This More ❯

to the business Skills & Knowledge Technical Skills - Data Warehouse Superior knowledge of data warehouse structure and function Manage and maintain data warehouse code Superior hands-on knowledge of implementing ETL processes Experience of integrating multiple systems in one data warehouse Design and document processes, data flows, lineage Planning and scheduling of data warehouse routines Technical Skills - SQL Server Database Develop More ❯

knowledge of Microsoft Fabric, Azure Data Factory, Power BI, and related Azure tools Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working with large, complex datasets and APIs across formats (CSV, JSON, Parquet, etc) Familiarity with workflow automation tools (eg More ❯

data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python,PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. Good understanding of deploying AI solutions in Azure More ❯

knowledge of Microsoft Fabric, Azure Data Factory, Power BI, and related Azure tools Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Solid understanding of ETL/ELT workflows, data modelling, and structuring datasets for analytics Experience working with large, complex datasets and APIs across formats (CSV, JSON, Parquet, etc) Familiarity with workflow automation tools (eg More ❯

Architecture is highly desirable; however, a Senior Data Engineer eager to transition into this domain will also be considered. Key Responsibilities: Oversee and lead the design and implementation of ETL/ELT processes to ingest data from the new ERP system into Snowflake. Architect and develop the Snowflake data warehouse to support reporting and analytics, incorporating existing SQL Server-based … system architecture models for seamless data integration, storage, processing, and analytics. Business Analysis: Ability to translate stakeholder requirements into strategic application plans. Business Intelligence: Understanding of data lifecycle from ETL to insight generation. IT Security: Awareness of security challenges and mitigation techniques. Effective Governance: Managing projects, processes, and stakeholder relationships. Service and Supplier Management: Providing high-quality service management and … external vendor oversight. Key Skills & Experience: Essential: Experience with ETL/ELT tools (Matillion preferred) Proficiency with SQL Server and Snowflake or similar cloud data warehousing solutions (Azure, AWS, etc.) Experience supporting analytics and reporting using Kimball methodology Experience with data migration and business logic mapping Proven ability to convert business requirements into solutions Experience with Power BI Desirable: Experience More ❯

dashboards etc with Power BI. Integrate data from various applications such as ERP, IoT devices and external sources Implement data validation, cleansing and quality assurance protocols Support existing Jitterbit ETL/legacy applications while Microsoft fabric is implemented Ensure the correct data enables the business to make better data led decisions Help transition from legacy ETL to Microsoft Fabric. Have … hear from you if you have: Data engineering expertise ideally in a manufacturing or production environment Advanced SQL and data modelling skills Ideally Microsoft Fabric expertise OR strong Jitterbit ETL/SQL Server to learn Microsoft Fabric Track record of understanding data requirements with the business, Identifying the data then, designing and maintaining data pipelines Excellent communication skills to liaise More ❯

AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3 … Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability More ❯

AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3 … Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability More ❯

AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3 … Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability More ❯

AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3 … Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability More ❯

partner engineering teams to enhance data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization. Design, build and implement the right ETL processes using AWS and similar technologies. Implement anomaly detection systems to have a proactive approach to any potential data quality issues, using industry standard frameworks. Enable large scale analytics using … the organization. Work on proof of concepts for adoption of new technology and tools BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python … standards, code reviews, source management, build processes, testing, and operations PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience building data pipelines or automated ETL processes - Experience writing and optimizing SQL queries with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

Gather functional and non-functional requirements, considering technical environments, business constraints, and organizational needs. Support clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, and machine learning models for training and scoring. Collaborate closely with partners, strategy consultants, and data … data warehousing principles, concepts, and best practices (e.g., ODS, data marts, data lakes, data vault, 3NF). Advanced SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience More ❯

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

using industry level best practices.Reporting to the Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. If you’re a … winning employer, apply to join #TeamAldi today! Your New Role: Project Management of demands and initiatives Lead the design and implementation of data warehousing Design and develop data models, ETL processes and data integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You More ❯

databases like Snowflake or SQL Server o Hands-on experience with Snowflake including data modelling, optimization, and managing cloud-based data warehousing solutions. o Experience with building and maintaining ETL data pipelines using tools Azure Data Factory o Solid experience with Git for source code management and collaboration in a development environment o Experience using CI/CD best practices More ❯

e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯