76 to 100 of 344 PySpark Jobs

ecosystems, customer engagement platforms, event tracking, identity resolution, and customer data models. Experience building and optimising batch and streaming data pipelines using SQL, Python, PySpark, and Delta Lake. Familiarity with dbt for data transformations and orchestration tools such as Airflow, Dagster, or Prefect. Experience designing and delivering secure, resilient ...

Databricks Apps. Databricks certification at Professional level, or Associate level with the drive to progress (see Certifications). Technical skills Python and SQL, including PySpark and Spark SQL; scripting in Bash. Infrastructure as code with Terraform (Databricks and AzureRM providers), plus Declarative Automation Bundles, the Databricks ...

depth working knowledge of SQL, with the ability to write and optimise queries and stored procedures. Experience building robust data pipelines using Python, PySpark or other relevant programming languages. Solid hands-on experience of designing and developing Microsoft Fabric solutions across pipelines, lakehouses, warehouses and data layers. Strong data ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

Description What you'll do Data Engineering Delivery: Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high-quality data products that support reporting, analytics, AI and data science. Data Architecture & Modelling: Develop and maintain robustlakehousearchitectures and reusable ...

depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Advanced Apache Spark experience(PySpark/Spark SQL), including performance tuning (partitioning, shuffle optimization, caching), troubleshooting, and designing scalable batch/stream processing patterns. Deep lakehouse and data platform ...

development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience with Git, CI/CD and automated testing. Comfortable working in Linux ...

API Gateway, and CloudWatch. Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms. Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools. Drive observability, monitoring, logging, and operational readiness across software platforms and services. ...

payment, and transaction analysis. Strong Python skills for statistical modelling, cohort analysis, weighting, matching, and reproducible analytics. Hands-on experience with Databricks, Spark/PySpark, Delta tables, and automated data workflows. Proficiency with Git, Azure DevOps, and controlled production release processes. Strong data quality, reconciliation, and audit-trail practices. ...

Data Engineering roles, including 3 years in a technical lead role managing end‐to‐end solutions. Hands‐on experience with Azure Databricks using PySpark, with the ability to undertake cluster capacity planning and workload optimisation. Holds Security Check (SC) clearance OR Eligible for Security Check (SC) clearance level ...

platform or data warehouse migration (cutover, reconciliation, parallel running, decommissioning) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg or Delta Lake Strong data ...

patterns, batch and streaming ingestion, event driven design Conceptual, logical and physical data modelling. Dimensional and data vault both useful Advanced SQL, Python or PySpark Declarative pipelines (Delta Live Tables or equivalent), Databricks Workflows, Auto Loader and Structured Streaming Microsoft Purview for data governance, cataloguing and lineage Azure Data ...

Generation), Serverless, DWH models, Data Mesh, Data Fabric, Medallion and Data Products. Hands on mindset : Fluent in the language of data, whether SQL, Python, PySpark, R or Scala. Open formats including Parquet, Iceberg and JSON. Agile Ways of Working Run and contribute to agile ceremonies, helping to shape ...

Data Engineer Key skills: * Microsoft Fabric * Azure Cloud Technologies * Python * SQL Server/SQL * Data Warehousing & Data Modelling * Data Architecture * Data Pipelines & Integration Solutions * PySpark * ETL/ELT Development * Data Governance & Security * Source Control (Git) * Technical Leadership & Team Management You will be a Lead Data Engineer Developer with good ...

data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar programming skills for data manipulation and automation Experience integrating data from APIs, databases, files and other sources Experience with data quality, pipeline monitoring ...

strong problem solving, communication, and stakeholder management skills. Requirements 4-6 years of experience in data engineering with a strong focus on Databricks (SQL & PySpark). Strong hands-on experience with Azure data services, including ADF, ADLS, and Azure Functions. Proven experience designing and implementing metadata-driven data pipelines. ...

problem solving, communication, and stakeholder management skills.RequirementsCandidates should have:4-6 years of experience in data engineering with a strong focus on Databricks (SQL & PySpark).Strong hands-on experience with Azure data services, including ADF, ADLS, and Azure Functions.Proven experience designing and implementing metadata-driven data pipelines.Strong understanding ...

workflows Defining and enforcing standardised engineering patterns across a shared codebase Operational reliability, including monitoring, structured logging, alerting, and systematic failure recovery Desirable PySpark Experience supporting Airflow in a self‐managed environment Experience in a business building a data platform from the ground up Working Arrangements This ...

record of development in Databricks* Proven track record of working with IaC* Proven track record of working with git* Strong working knowledge of Python (Pyspark) and SQL* Strong working knowledge of data management inside a datalake* Proven ability to explain technical issues and solutions to peers and customers* Proven ...

record of development in Databricks* Proven track record of working with IaC* Proven track record of working with git* Strong working knowledge of Python (Pyspark) and SQL* Strong working knowledge of data management inside a datalake* Proven ability to explain technical issues and solutions to peers and customers* Proven ...

record of development in Databricks* Proven track record of working with IaC* Proven track record of working with git* Strong working knowledge of Python (Pyspark) and SQL* Strong working knowledge of data management inside a datalake* Proven ability to explain technical issues and solutions to peers and customers* Proven ...

record of development in Databricks Proven track record of working with IaC Proven track record of working with git Strong working knowledge of Python (Pyspark) and SQL Strong working knowledge of data management inside a datalake Proven ability to explain technical issues and solutions to peers and customers Proven ...

data ingestion processes from clinical, operational, financial and external systems, including relational databases, REST APIs and file-based sources. Build and optimise SQL and PySpark transformations across Bronze, Silver and Gold data layers. Work with technologies including Databricks, Delta Lake, Lakeflow, dbt and Unity Catalog. Implement automated data quality … similar data engineering role. Strong SQL skills, including performance tuning, CTEs, window functions and data modelling. Good Python programming skills, particularly PySpark, for data transformation, API integrations and automation. Hands-on experience with Databricks, including Delta Lake, Spark and Unity Catalog, or a comparable cloud data platform such ...

responsibilities. Ensure solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines … duties as required. Skills and Experience Strong understanding of data engineering principles, data architecture, and cloud-based data platforms. Proficient in Python (PySpark) and SQL for building and optimising data transformations at scale. Strong hands-on Databricks experience. Experience with Azure data storage technologies (Azure SQL, Data Lakes, Blob ...

development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience with Git, CI/CD and automated testing. Comfortable working in Linux ...