11 of 11 Remote Apache Spark Jobs in the South East

lead Support the Ordnance Survey Testing Community, with common standards such as metrics and use of test tools Here is a snapshot of the technologies that we use Scala, Apache Spark, Databricks, Apache Parquet, YAML, Azure Cloud Platform, Azure DevOps (Test plans, Backlogs, Pipelines), GIT, GeoJSON What we're looking for Highly skilled in creating, maintaining and More ❯

Driven Projects: Collaborate on exciting and complex data pipelines, platforms, and automation solutions across industries including finance, retail, and government. Cutting-Edge Tech: Work hands-on with tools like Spark, Databricks, Azure Deequ, and more. Career Development: We invest in your growth with dedicated training, mentoring, and support for certifications. Collaborative Culture: Join a diverse, inclusive team that thrives … you'll do: Maintain test automation frameworks tailored for data-intensive environments. Implement validation tests for data pipelines, data quality, and data transformation logic. Use tools like Azure Deequ , Spark , and Databricks to ensure data accuracy and completeness. Write robust, scalable test scripts in Scala , Python , and Java . Integrate testing into CI/CD pipelines and support infrastructure … and data validation techniques. Experience using test automation frameworks for data pipelines and ETL workflows Strong communication and stakeholder management skills. Nice-to-Have: Hands-on experience with Databricks , Apache Spark , and Azure Deequ . Familiarity with Big Data tools and distributed data processing. Experience with data observability and data quality monitoring. Proficiency with CI/CD tools More ❯

Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation tools. Awareness of ML/AI integration More ❯

Agile projects Skills & Experience: Proven experience as a Lead Data Solution Architect in consulting environments Expertise in cloud platforms (AWS, Azure, GCP, Snowflake) Strong knowledge of big data technologies (Spark, Hadoop), ETL/ELT, and data modelling Familiarity with Python, R, Java, SQL, NoSQL, and data visualisation tools Understanding of machine learning and AI integration in data architecture Experience More ❯

e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional More ❯

e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional More ❯

drive projects from initiation to completion. Keen interest in emerging Machine Learning techniques. Desirable: Experience with Cloud deployments (e.g. Azure/AWS/GCP) and data processing frameworks (e.g. Apache Spark). The interview process: Our interview process involves the below: Recruiter screening call 1st stage interview - Intro with Hiring Leader 2nd interview - case Study round with hiring More ❯

time, taking project briefs and refining them to strong results. Exposure to Python data science stack Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark and geospatial data/modelling are a plus. Interview process: Subject to change 1) 15minute conversation with Talent Team 2) 30minute interview with hiring manager 3) You'll be More ❯

a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous More ❯

scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation frameworks while implementing automation that drives government efficiency. You'll collaborate with stakeholders to transform legacy systems, implement data governance frameworks, and ensure solutions meet the … Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark; Data engineering approaches; Database management, e.g. MySQL, Postgress; Software development methods and techniques e.g. Agile methods such as SCRUM; Software change management, notably familiarity with git; Public sector best More ❯

ability to explain technical concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential Skills: Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2). Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary. Significant … you MUST have the Right to Work in the UK long-term as our client is NOT offering sponsorship for this 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 More ❯