126 to 150 of 215 ETL Jobs in the South East

solutions to analyse a huge amount of cross-platform data. This approach generates valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh and data fabric More ❯

tracing Splunk. Oversee the automation of infrastructure provisioning and configuration management. Provide technical authority, mentorship, and guidance to the engineering team. Develop and optimize ETL pipelines and data engineering workflows to ensure seamless data integration and analytics. Manage and maintain containerization and virtualization solutions, leveraging tools like Docker and Kubernetes. More ❯

experience using data modelling tools Hands-on experience with Google Cloud technologies such as BigQuery, GCS, and Kafka Advanced SQL skills and experience with ETL tools (e.g., SSIS), scripting in Python and Unix Shell Familiarity with Agile methodologies Strong communication skills and the ability to work effectively in client-facing More ❯

AI tool for optimising business processes. Requirements: * 3 years of demonstrable data science experience with a range of models. * Strong Python and SQL skills * ETL, data warehousing experience - SnowFlake * Machine learning expertise (scikit-learn, TensorFlow) * Degree in Computer Science, Statistics, Data Science, Mathematics or a related field Technical Skills: * Data More ❯

financial reporting and compliance. · Manage the integration of FPSL with SAP S/4HANA Finance and SAP HANA. · Develop data extraction, transformation, and loading (ETL) processes for financial data. · Work on HANA-based data modeling, CDS Views, Calculation Views, and SQL scripting. · Implement custom logic for financial calculations, cost allocations More ❯

and Record-to-Report Practical experience working with ERP systems (eg, SAP, Oracle, Microsoft), including data extraction, analysis, and reporting Familiarity with SQL, databases, ETL processes, and/or programming languages such as Java, Python, or R Good understanding of process management principles and BPM (Business Process Management) tools and More ❯

on Google Cloud Platform Strong knowledge of BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions Proficient in data modeling, data warehousing, and ETL/ELT architectures Experience with Infrastructure as Code (e.g., Terraform, Deployment Manager) Deep understanding of data governance, security, and compliance frameworks GCP Professional Data Engineer More ❯

tags and scripts from GTM/GA4 into their Big Query data warehouse. Combine this with other streams of data from their MarTech stack (ETL) to produce insight and initiatives that they can leverage to produce better and richer experiences for their customers through segmentation and personalisation. Their product range More ❯

data, preferably with Profisee MDM. Experience in conducting data quality surveys. Proficiency in relevant technologies and tools used in data management, such as SQL, ETL tools, data modelling tools and data visualization tools. Strong technical skills. Ability to analyse data, identify patterns and solve problems. Experience in working with various More ❯

Experienced with data and analytic applications build processes at all stages of the software development lifecycle A comprehensive understanding of data warehousing, extract, transform and load Experience in data modelling Exposure and experience of Azure data and analytics products and services (SQL and NOSQL databases, data lake, data factory, synapse More ❯

Financial Services Cloud. In this role you will work to define and execute data migration strategy, ensuring accuracy and integrity. You will also utilize ETL tools like Informatica and Apex Data Loader (and any other in-house customer tools). Your responsibilities Implement data validation, deduplication, and enrichment processes. Design More ❯

architecture trends. Key Skills and Experience: Proven experience as a Enterprise Data Architect working at a global level. Expertise in data modeling, warehousing, and ETL/ELT processes. Knowledge of the latest data tools. Proficiency with cloud platforms (AWS, Azure, Google Cloud). Stong Business architecture experience. Strong knowledge of More ❯

infrastructure, solving real problems, and making an actual impact from day one. What you’ll be up to: Building and optimising data pipelines (think ETL, scraping, ingestion) Keeping data accurate, clean, and flowing smoothly Collaborating with engineers, analysts, and data scientists Playing around with modern tools, cloud platforms, and a More ❯

in commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯

data model To be successful in the role you will have Solid experience designing and delivering data solutions focused on Azure Data Platform Strong ETL experience with tools such as ADF or SSIS Experience working with Azure technologies – Synapse, Databricks, Data Lake Knowledge of data architecture principles and data modelling More ❯

with GIS standards like WMS, WFS, WMTS, WPS, WCS, CSW. Experience integrating CAD and GIS data for visualization, VR, and AR solutions. Proficiency with ETL tools and technologies, and managing CAD formats (dwg, dgn, rvt, iFC). Knowledge of geospatial data formats (ECW, GeoTIFF, DTM/DSM, ASCII). Good 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 ❯

expert in cloud data engineering, providing technical guidance and mentorship to the team. * Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g., AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR). * Develop and maintain data quality checks More ❯

effective, and secure. Support automation initiatives , helping teams transition to more efficient workflows. Work closely with data engineers to implement and maintain cloud-based ETL pipelines. Communicate effectively with both technical and non-technical stakeholders to align on requirements and ensure successful adoption of tools. What you'll bring; Strong More ❯

backend applications. Work closely with data engineers, analysts, and front-end developers to deliver actionable insights. Design and implement ETL pipelines to extract, transform, and load large datasets. Enable event tracking and logging for user behavior analysis. Utilize machine learning models and predictive analytics to improve user experiences. Ensure compliance More ❯

culture of continuous learning, improvement, and automation What You Bring Solid understanding of data modelling, data warehousing principles, and Lakehouse architecture Expert knowledge of ETL using Azure Databricks (Spark, Spark SQL, Python, SQL) and ETL/ELT design patterns Strong Databricks, SQL, and Python skills with comprehensive understanding of software More ❯

and maintain dashboards and reports in Power BI to support business needs. Write and optimize SQL queries (views and select statements) to transform and extract data efficiently. Design and implement ETL processes to ensure clean and structured data pipelines. Utilize Python for data analysis, automation, and workflow optimization. Leverage Power … Power BI, including report/dashboard development and DAX calculations. Proficiency in SQL, including writing efficient queries for data transformation and analysis. Experience with ETL tools and processes, ensuring efficient data extraction and transformation. Experience with Power Automate for workflow automation. Strong problem-solving skills and the ability to translate More ❯

develop solutions that transform client problem descriptions into actionable insights, utilizing comprehensive data exploration. Data Management Expertise: Architect and maintain robust data pipelines and ETL processes, creating foundational data and action models that drive operational efficiencies. Operational Excellence: Craft and optimize operational workflows and decision-support tools, integrating native Palantir More ❯

you’ll have a natural path toward leading the Data Engineering function. From a hands-on perspective, you’ll be designing and maintaining robust ETL pipelines, working with tools like AWS Redshift, S3, and Kafka, and collaborating with internal stakeholders to deliver insights into player behaviour and gaming analytics. You More ❯

/4HANA Conduct gap analysis between existing QAD systems and S/4HANA architecture Oversee or assist with data extraction, cleansing, transformation, and loading (ETL) Work closely with business units and SAP functional teams to ensure seamless process alignment Validate data integrity and system functionality through rigorous testing phases Provide More ❯