1 to 25 of 91 ETL Jobs in the South East

Azure- The Skills You'll Need to Succeed: Mastery of Data bricks, Python/PySpark and SQL/SparkSQL. Experience in Big Data/ETL (Spark and Data bricks preferred). Expertise in Azure. Proficiency with versioning control (Git preferred). Knowledge of and/or experience with using or More ❯

interactive Power BI dashboards, reports, and data visualizations that meet the needs of stakeholders across various departments. • Data Management & SQL Querying: Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI. Write complex SQL queries to analyze large datasets and ensure data integrity and accuracy. More ❯

Deep expertise in Databricks and experience with cloud data platforms such as Snowflake, AWS or Azure; Strong proficiency in data modeling, data warehousing, and ETL/ELT architecture at scale; Advanced programming skills in SQL and Python; experience with orchestration and data pipeline tools; Demonstrated success delivering complex data architectures More ❯

CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long More ❯

and data-driven decisions. Key Responsibilities: Develop, maintain, and optimize dynamic reports and dashboards using SSRS and Power BI to aid business decision making. Extract, transform, and load (ETL) data from diverse sources with T-SQL, SSIS, and Azure Data Factory Pipelines. Collaborate with business stakeholders to gather requirements and More ❯

using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions More ❯

using Azure D&A stack, Databricks, and Azure OpenAI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions More ❯

modern, cloud-native data solutions using Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems … Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such as Azure Data Factory , Power Platform Dataflows , SSIS , or KingswaySoft . Solid skills in SQL, T-SQL and relational databases Experience of Azure More ❯

Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize More ❯

Snowflake, Databricks, Python, and advanced visualisation platforms to create solutions that drive measurable business outcomes. Key Responsibilities Develop Scalable Data Pipelines : Design and implement ETL/ELT workflows using Python, SQL, and cloud-native tools to support analytics and reporting needs. Enable Business Insights : Build intuitive, optimised data models for More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

from multiple organisational SQL databases and SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance … Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

batch data that they work with, the team also have a clear business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance More ❯

reliable data systems and optimising data workflows. Accountabilities: Design, develop, and maintain scalable and secure data pipelines Implement best practices for data integration and ETL/ELT Collaborate with data analysts and scientists to meet their data needs Optimise the performance and reliability of data systems Lead technical projects related More ❯

optimisation. Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Experience with cloud data warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs More ❯

preferred 2-3 years experience working in a Consulting, Strategy, or Data Analytics role Demonstrated knowledge of Excel (advanced, will be tested), SQL (Postgresql), ETL pipelines, PowerBI (or other visualisation software). Strong communication and collaboration skills. Ability to translate and visualise data in a concise and accurate way thats More ❯

preferred 2-3 years experience working in a Consulting, Strategy, or Data Analytics role Demonstrated knowledge of Excel (advanced, will be tested), SQL (Postgresql), ETL pipelines, PowerBI (or other visualisation software). Strong communication and collaboration skills. Ability to translate and visualise data in a concise and accurate way thats More ❯

office Farnborough) Salary: Competitive Working Hours: Full Time Key Responsibilities: Assessment of data workflows & interfaces status quo, comparing them vs industry best practices & automating ETL processes where feasible. Core development skillsets are required, with particular focus on SQL, Microsoft SQL, Integration Services & Python. Development & reporting services for business-critical daily More ❯

for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using SQL suite of software including the ETL process Ability to present data and findings clearly and concisely to both technical and non-technical audiences. Ability to work collaboratively within a team environment More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc. More ❯

architecture initiatives in modern cloud environments (e.g., AWS, Azure, GCP). Understanding of modern data technologies such as: Data Warehousing (e.g., Databricks, Snowflake, Redshift) ETL/ELT tools (e.g., SAP BTP, Matillion, SepaSoft) Data Lake and Lakehouse architectures Proven strategic leadership, setting data standards and roadmaps for large organizations. Demonstratable More ❯

a fast-paced environment. You should possess: Proven experience as a Data Engineer, particularly with MS Azure Strong knowledge of data warehousing concepts and ETL processes Proficiency in SQL and experience with data modelling tools A passion for data analysis and problem-solving Excellent communication skills to collaborate effectively with More ❯

or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If you're More ❯