176 to 200 of 394 PySpark Jobs

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 ...

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 ...

commercial or Agile environment. To be successful in this role it’s essential that you will: Have significant experience of AWS , Python, SQL, Gitand PySpark Desirable experience needed will be: SISS or SAS experience Quality Assurance and Test Automation experience Experience of Database technologies Experience in Financial Services organisation ...

commercial or Agile environment. To be successful in this role it’s essential that you will: Have significant experience of AWS , Python, SQL, Gitand PySpark Desirable experience needed will be: SISS or SAS experience Quality Assurance and Test Automation experience Experience of Database technologies Experience in Financial Services organisation ...

Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. You will implement Delta Live Tables, write PySpark and SQL in Fabric Notebooks and Databricks clusters, and ensure data access control, quality checks, and governance through Unity Catalog. #J-18808-Ljbffr ...

Delta Lake, with governance, security, and real-time processing at scale. The role sits in the Enterprise Data Team and requires strong SQL and PySpark, plus experience with cloud-native data platforms. Hybrid working available, with 2 days in the office and 3 days from home. #J-18808-Ljbffr ...

Parties. Key Skills: SQL & Data Analysis Databricks/Data Lake Power BI & Data Visualization Data Quality & Validation Dataset Development & Maintenance LeanIX/Enterprise Architecture PySpark preferred Data Governance ...

functional teams to deliver high-quality technical solutions. Support the ongoing maintenance and optimisation of platform services. Essential Skills & Experience Hands-on experience with PySpark for data transformation and processing. Experience working with AWS data services , including: AWS Glue Amazon S3 Experience using Terraform for Infrastructure as Code. Experience ...

Declarative Pipelines with Expectations, including failure handling and observability Knowledge of Auto Loader, Lakeflow Connect and batch, streaming or incremental ingestion patterns Production-level PySpark and SQL development skills Strong knowledge of Delta Lake, including MERGE, schema evolution, OPTIMIZE, ZORDER and VACUUM Experience with Databricks Workflows, orchestration ...

influencing skills. Ability to think creatively and propose innovative solutions. To qualify for this role, you must have: Proven experience and knowledge with PySpark and Apache Spark including the fundamentals of how it works. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data lake architectures. Strong experience ...

doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions … stakeholders It would be beneficial if you also have Knowledge of data modelling practices, including star and snowflake schemas and normalisation Experience with Python, PySpark or Spark, Azure, DevOps or Microsoft Dynamics 365 Finance and Operations An understanding of business operations A full driving licence, as travel to Group ...

doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions … stakeholders It would be beneficial if you also have Knowledge of data modelling practices, including star and snowflake schemas and normalisation Experience with Python, PySpark or Spark, Azure, DevOps or Microsoft Dynamics 365 Finance and Operations An understanding of business operations A full driving licence, as travel to Group ...

engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow … transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow … transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow … transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilitiesDesign scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow … data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

will be doing Designing and building scalable ingestion pipelines from APIs, relational databases and financial data providers into Azure Databricks Writing complex transformations in PySpark and Spark SQL, with Delta Lake as the storage foundation Tuning Databricks workloads for performance and cost, and embedding quality checks and validation into … into engineered solutions What we need from you 8+ years in data engineering, including 3+ years hands on with Azure Databricks Strong Python and PySpark, backed by advanced SQL Deep grounding in data warehousing, data modelling and integration patterns Unity Catalog and Delta Lake in a production environment Data ...

Building and maintaining scalable data pipelines, pulling data in from core business systems and third-party sources. Designing and developing data solutions with Python, PySpark, SQL, notebooks and dataflows across a modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power … future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft Fabric or an equivalent Azure data platform (2+ years) Medallion/layered lakehouse architecture (2+ years) Dimensional data modelling for analytics ...

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham ...

Senior Data Engineer Who we areArtefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain ...

cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, #J ...

continuous integration/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing ...

platforms supporting front-office trading, risk, regulatory reporting and market data analytics. Responsibilities include designing data pipelines, working with Python/SQL, Spark/PySpark, and cloud platforms like Databricks and Azure Data Services, and collaborating with stakeholders to deliver #J-18808-Ljbffr ...

scalable applications. You will own data analysis, system design, and the full software lifecycle from requirements gathering to deployment. The role emphasizes strong Python, PySpark, SQL skills, and experience with ETL, data modeling, and regulatory reporting flows. Collaboration with the Axiom team is also key. #J-18808-Ljbffr ...

trustworthy. You’ll work within a central data team on a modern Microsoft stack (Fabric/Azure) and help build data products, applying SQL, PySpark and Python to monitor, validate and improve data quality. You’ll engage with stakeholders across the business, translating technical issues into clear business impact ...