10 of 10 PySpark Jobs in the South West

data quality best practice.Strong problem-solving skills and attention to detail.The ability to communicate effectively with both technical and business stakeholders.Desirable ExperiencePython or PySpark development within Microsoft Fabric.CI/CD practices for data engineering and data product delivery.Experience within legal services or another professional services environment.Exposure to systems such ...

schema design Develop API connectors and ingestion pipelines using Python Implement integration services feeding into the Databricks environment Build data transformation logic using PySpark/Python (data cleansing, standardisation, validation) Configure monitoring, logging, and alerting Execute unit and integration testing across pipelines Core Skills: Azure Databricks Python Desirable ...

languages eg. Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques ...

implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability, and cost efficiency. Build and maintain curated data models (bronze/silver/gold), data quality checks … Required qualifications, skills and capabilities Experience with building data pipelines on Databricks and/or Apache Spark in production. Strong coding skills in Python (PySpark) and SQL (Scala a plus). Hands-on experience with Delta Lake (MERGE/UPSERT patterns, schema evolution, partitioning, Z-ORDER, OPTIMIZE/VACUUM ...

implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability, and cost efficiency. Build and maintain curated data models (bronze/silver/gold), data quality checks … Required qualifications, skills and capabilities Experience with building data pipelines on Databricks and/or Apache Spark in production. Strong coding skills in Python (PySpark) and SQL (Scala a plus). Hands-on experience with Delta Lake (MERGE/UPSERT patterns, schema evolution, partitioning, Z-ORDER, OPTIMIZE/VACUUM ...

teams to deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. The role emphasizes batch/streaming pipelines, Spark/PySpark, Delta Lake, governance and security, with CI/CD and collaboration across environments. #J-18808-Ljbffr ...

ownership of client problems, handling everything from deep data engineering knowing that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos - to building user-facing front-end applications and widgets in TypeScript or REACT Client Advisory & Translation: Sit directly alongside clients, distinguish their ...

What we expect from you Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field Strong programming skills - Python and SQL are essential; PySpark experience is highly advantageous Experience with version control tools (e.g. GIT) Solid understanding of analytical technologies, tools, and techniques Excellent logical thinking and problem ...

strategy. At the heart of this is our Databricks data platform, and you will take ownership of building, optimising, and maintaining data pipelines using PySpark - orchestrating feeds from source systems through to our group data platform and taking technical ownership of all parts of the process.You will work closely … experience building and managing workloads on the Databricks platform, including Delta Lake, Unity Catalog, and Declarative Automation BundlesPySpark - proficiency in writing and optimising PySpark code for data transformation and processingAzure - solid experience working within the Azure ecosystem, including services such as Azure Data Factory, Azure Data Lake Storage ...

prototypes. Curiosity and a learning mindset - tracking state-of-the-art advancements and evaluating their relevance. Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling). Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences. Collaborative approach to working with … industry collaborations). Familiarity with vector databases, embeddings, and retrieval techniques. Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred). What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy ...