76 to 100 of 236 ETL Jobs in the South East

Your expertise: Experience building serverless functions in AWS and/or Azure. Experience writing TypeScript and Python. Desirable: 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 ❯

with engineers to integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka More ❯

Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools. Solid understanding of relational databases and SQL. Proven track record building robust ETL pipelines , ideally using Airflow or a similar tool. Familiarity with best practices in software engineering: version control, testing, packaging, and code reviews. Quantitative problem-solving More ❯

and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing scalable data lakehouse architectures using Databricks on Azure. Building efficient ETL/ELT pipelines for structured and unstructured data. Working with stakeholders to ensure high-quality, accessible data delivery. Optimising SQL workloads and data flows for More ❯

to challenge themselves in a collaborative environment, with scope to be instrumental in the scaling of the data infrastructure. Key Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and 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 ❯

and guidance Accurate, good analytical and mathematical skills DBA or equivalent experience handling large, varied and complex data sources and standardising them through an ETL process Proven experience of BI Toolsets such as Power BI, Tableau or Qlik, additionally SQL, Powershell, BI tools, Microsoft Access and Excel are necessary competencies More ❯

analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: e.g. JavaScript/TypeScript, React, Dash, or similar More ❯

knowledge and grow as a team. Responsibilities Design, build and maintain data storage solutions and data pipelines Develop and maintain the data ingestion pipelines (ETL) Develop and maintain Machine Learning powered BI solutions allowing data analytics and visualisation Develop and maintain API endpoints Work closely with Engineering and Product teams More ❯

English with good written and verbal communication skills. Desirable (bonus points for each of these) Experience of Industrial Automation and Control Engineering Experience with ETL/data pipelines Experience of integrating with technology similar to databricks, PowerBI, Aveva PI Database schema design Experience of creating Windows installers Experience of GUI More ❯

Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive downstream analytics and trading strategies. Uptime & Monitoring Implement health checks, alerting, and observability (metrics, logs, tracing) to maintain More ❯

at minimum) Deliver strong CI/CD pipelines for robust delivery of software Data pipeline development, including building, orchestrating and scaling; have experience with ETL frameworks Data integration and interoperability in complex environments Technical Expertise – (Nice to Haves) Background in deployment of AI models with large experimental requirements, rather than More ❯

these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What will be your Key Responsibilities? Strategic Data Management Execute the vision, strategy, and roadmap for … management, data integration, and data engineering best practices. Proficiency in SQL, Python, or other data-focused programming languages. Experience with big data technologies and ETL processes. Project management skills with the ability to operate in Agile framework. Good communication skills, with a track record of aligning technical solutions to business More ❯

these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What will be your Key Responsibilities? Strategic Data Management Execute the vision, strategy, and roadmap for … management, data integration, and data engineering best practices. Proficiency in SQL, Python, or other data-focused programming languages. Experience with big data technologies and ETL processes. Project management skills with the ability to operate in Agile framework. Good communication skills, with a track record of aligning technical solutions to business More ❯

implementing scalable data models that align with business requirements Building and maintaining data warehouses to facilitate self service analytics through PowerBI Managing and optimising ETL pipelines using tools such as Azure Data Factory and SSIS Enhancing data visualisation capabilities and driving best practices in reporting Ensuring data integrity, compliance with More ❯

. Experience deploying solutions on customer infrastructure, including setting up CI/CD, databases, and containerized services. A solid understanding of data management and ETL processes; AI/ML experience is beneficial but not mandatory. Willingness to travel (up to 50%) to collaborate closely with client teams—onsite problem-solving More ❯

science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings More ❯

performance tuning, • Very strong T-SQL knowledge. • Experience of working in large environments supporting applications through various stages of the product development life cycle ETL tool experience Desirable experience: Power BI experience • ASP.net knowledge and experience • Experience with Salesforce or another CRM • Any knowledge of Infor Sun Accounting System • Understanding More ❯

working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide decisions Excellent communication, planning, and stakeholder More ❯

its expanding IT operation To be considered for these positions you will need to have experience in the following areas - Good Data Engineering/ETL development experience - Data design experience in an MI/BI/Analytics environment (for example Kimball, lake house, data lake) - Good experience working in a More ❯

fast-paced environment. What You'll Need Strong academic background in a STEM or Computer Science focused discipline. Strong Python engineering experience. Experience building ETL pipelines using Python. Experience of SQL and relational databases. Experience with AWS or similar Cloud technology. Experience with S3, Kafka, Airflow, and Iceberg will be More ❯

testing frameworks (e.g. PyTest).//Experience with GitHub for managing code.//Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing. This company is seeking someone with a great personality, who has a real passion for data engineering and is More ❯

Data Analytics, Statistics) General Master Data Management (MDM) experience Experienced with Semarchy MDM Platform experience v5.0 Experienced with general data integration experience e.g., common ETL tooling SQL experience Data profiling experience NICE TO HAVE PowerBI experience Data Cataloguing\Governance Cloud deployment experience ABOUT YOU Integrity, respect, intellectually curious and an More ❯

We’re Looking For Deep experience with SSIS and SQL Server in an enterprise environment Strong proficiency in T-SQL , stored procedures, and complex ETL logic Familiar with Azure Integration Services (e.g., Logic Apps, ADF, Service Bus, Functions) Comfortable working with Git , Azure DevOps , and unit testing practices Knowledge of More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯