10 of 10 Delta Lake Jobs in the South East

Degree in Computer Science, Software Engineering, or similar (applied to Data/Data Specialisation). Extensive experience in Data Engineering, in both Cloud & On-Prem, Big Data and Data Lake environments. Expert knowledge in data technologies, data transformation tools, data governance techniques. Strong analytical and problem-solving abilities. Good understanding of Quality and Information Security principles. Effective communication, ability … monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. To be considered for this role you MUST have in-depth experience … role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable for this More ❯

on experience of HDFS/Hadoop and on-prem (coding, configuration, automation, delivery, monitoring, security). Extensive Big Data hands-on experience - Cloudera or similar. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Azure - hands-on experience including coding, configuration, automation and delivery. Advanced Database and SQL skills. Certifications: Cloudera, Azure or FME certifications … Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. Please note that due to a high level of applications, we can only respond More ❯

Experience: 5 years of experience in a data engineering or similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to … Familiarity with software testing methodologies and development team collaboration Experience working with Power BI and DAX Strong documentation, communication, and stakeholder engagement skills Preferred Qualifications: Experience with Lakehouse architecture, Delta Lake, or Databricks Exposure to Agile/Scrum working practices Microsoft certifications (e.g., Azure Data Engineer Associate) Background in consulting or professional services Understanding of data governance and More ❯

modern data platform, mentor talented engineers, and make a real impact on strategic decision-making. A successful Lead Azure Data Engineer should have: Strong experience with Databricks, Azure Synapse, Delta Lake, and pipeline orchestration. Hands-on with ETL/ELT processes, data modeling (star schema), SQL, Python, and data governance tools (e.g., Purview, Unity Catalog). Experience implementing More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯

or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate More ❯

record of curating and synchronising metadata across distributed platforms. Platform & Tool Expertise Alation power user : Expert in Stewardship Workbench, OCF connectors, and governance workflows. Databricks ecosystem : Unity Catalog administration, Delta Lake governance, lakehouse patterns, Genie AI/BI spaces. Hands-on with data quality tools such as Great Expectations, Ataccama, Monte Carlo (or similar). Experience with metadata More ❯

processing systems. Familiarity with DevOps tools such as GitHub Actions or Jenkins. Solid grounding in modern engineering principles and full-stack development. Bonus Skills: Airflow, Kafka/Kafka Connect, Delta Lake, JSON/XML/Parquet/YAML, cloud-based data services. Why Apply? Work for a global payments innovator shaping the future of commerce. Join a highly More ❯

Youll oversee the modernisation of our Azure-based data environment, champion scalable and resilient data pipelines, and drive adoption of tools such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Working across all areas of the IET, youll ensure our data is secure, accessible, and delivering maximum value for analytics, business intelligence, and operational excellence. Youll foster a … Lead and modernise The IETs data architecture, ensuring alignment with best practice and strategic goals. Drive adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable, resilient data pipelines to support analytics and reporting. Stay hands-on in solving technical challenges, implementing solutions, and ensuring the reliability of our data More ❯