151 to 175 of 250 PySpark Jobs in the UK

promote best practice across the analytics function. Independently own projects from discovery through to delivery. Skills & Experience Strong SQL skills. Python and/or PySpark experience. Experience within Product Analytics or Digital Analytics. Strong understanding of experimentation and A/B testing. Good grounding in statistics and analytical methodologies. ...

harness data.What we expect from you Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative fieldStrong programming skills — Python and SQL are essential; PySpark experience is highly advantageousExperience with version control tools (e.g. GIT)Solid understanding of analytical technologies, tools, and techniquesExcellent logical thinking and problem‐solving abilitiesStrong ...

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 ...

platform environments, ideally supporting production systems and external clients Advanced working knowledge of at least one data/query language (e.g. SQL, Python, or PySpark), with the ability to debug complex issues, analyse data, and build queries/scripts independently Deep experience working with data pipelines, transformations, and diagnosing ...

context CI/CD tooling (CodePipeline/CodeBuild or equivalent) — advanced; you've automated model promotion across environments General and technical Python/PySpark — expert; production-quality code, not just notebook scripts Statistical/parity testing methodology — advanced; you can design and execute parity sign-off on migrated models ...

unlock business value. You will collaborate with data scientists, analysts and software engineers, implement governance and security, and contribute to engineering standards. Strong PySpark and SQL skills, plus experience with cloud platforms are essential for success. #J-18808-Ljbffr ...

engineering is done across the organisation. Skills & Experience Strong hands‐on experience with Azure data platforms Advanced SQL skills Commercial experience using Databricks and PySpark Proven background building and maintaining scalable data pipelines #J-18808-Ljbffr ...

Private equity-backed organisation with ambitious growth plans Essential Skills & Experience Strong experience as a Data Engineer within modern cloud data environments Expertise in PySpark, SQL and data transformation practices Experience building production-grade data pipelines Knowledge of Microsoft Fabric Experience working with Delta Lake and Lakehouse architectures ...

Analytics Solutions Expertise in SQL Expertise in data and analytics platforms, leveraging a range of data mining and data visualization tools such as Databricks, PySpark, Tableau etc. Bachelor's Degree in Engineering/Computer Science/Statistics/Mathematics or other relevant fields Preferred qualifications, capabilities, and skills: Experience ...

clientsFull SDLC process experienceExcellent communications skills, both written and verbalBonus Points:Experience with the Go Lang eco-system tools and librariesExperience with Pandas and PySpark libraries would be a plusTechnical experience with Databricks or any similar Delta Lake platforms.Experience working with large datasetsExperience with AWS cloud deployments and APIExperience ...

Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience in cloud data … data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data from multiple sources including databases, APIs, cloud storage, and third‐party systems. Implement data ...

troubleshooting, with the ability to think beyond routine approaches to solve technical problems.Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting.Develop fact and dimension data models for reporting … Code).Required qualifications, capabilities, and skillsProven experience in data management, ETL/ELT pipeline development, and large-scale data processing.Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning.Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar).Experience with AWS cloud services ...

scalable, high-quality data platform from the ground up. The Role Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles Integrate data from ecommerce, ticketing, and marketing platforms into … Microsoft Fabric (Lakehouse, Warehouse, pipelines). Azure Data Factory experience will also be considered if no working experience with fabric Advanced SQL and strong PySpark experience Proficiency in Python for data processing and API integration Experience building Power BI models and dashboards for business reporting Strong understanding ...

query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure SynapseBuild scalable data processing solutions using PySpark, Python and cloud-native orchestration servicesImplement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data deliverySupport the performance tuning and optimisation … data engineering, integration and analytics challengesCollaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teamsDevelop expertise across cloud-native data services, PySpark, SQL and modern engineering practicesAccess mentoring, knowledge sharing and development opportunities to help you grow your careerContribute to solutions that deliver measurable value and meaningful ...

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 ...

Time Type: Full time Working Pattern: Hybrid Purpose of the Role Working closely with the Data Science Manager, the holder will strengthen the data science capability of the business by delivering models and actionable insights ...

performance optimisation. Hands-on delivery experience within hospitality reporting and commercial reporting environments. Experience working with Databricks is useful. Ability to interpret Python/PySpark is beneficial. If you are interested in this Power BI Developer role please apply with your most recent CV or reach out on jordan ...

performance optimisation. Hands-on delivery experience within hospitality reporting and commercial reporting environments. Experience working with Databricks is useful. Ability to interpret Python/PySpark is beneficial. If you are interested in this Power BI Developer role please apply with your most recent CV or reach out on jordan ...

skill further when working with non-technical audiences. Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar. Role is placed within the Advanced Analytics function, supporting the strategic Insights Engine programme. The project aims to move retail colleagues away ...

e.g. Mathematics, Statistics, Computer Science). Nice to Have: Familiarity with production environments, MLOps, or data pipelines. Experience working with large-scale data using PySpark or equivalent distributed data processing tools. Experience in gaming, e-commerce, or subscription-based products.Benefits: Discretionary bonus opportunityPrivate Medical InsuranceDental Scheme25 days holiday ...

business acts on.Fluency with large, complex behavioural datasets and the craft to work with them at scale: Python, SQL, and distributed processing (e.g. PySpark), plus standard ML tooling as the work requires.Excellent stakeholder communication: you can make a rigorous causal argument land with a non-technical commercial audience ...

maintaining data pipelines in Databricks Developing and optimising ETL/ELT processes across ingestion, transformation and integration Building data solutions in SQL, Python and PySpark Monitoring and improving data quality, reliability and platform performance Supporting SQL database administration, maintenance and optimisation Tuning queries, indexes and execution plans where performance … mature automation, documentation, development standards and CI/CD practice Essential Skills and Experience Strong experience with Databricks SQL server experience Solid Python and PySpark skills Experience using MS stack, Azure and Spark Familiarity with CI/CD and DevOps Why Apply? Base salary up to £60,000 Work ...

with architects, engineers, and analysts to deliver secure, scalable, and high-performing migration solutions, leveraging technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML-based configurations.You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, ensuring delivery excellence … including AWS Glue and Apache IcebergValidate data feed pipeline migrations transitioning to new AWS Data Lakehouse architecturesTest pipelines underpinned by:AI ETL acceleratorsPython/PySpark transformationsSQL-based logicYAML configuration-driven orchestrationExecute and validate:Initial bulk data loadsSubsequent incremental/delta migrationsDevelop and run SQL-based validation and reconciliation queries ...

designing, developing and maintaining cutting-edge data solutions within Microsoft Fabric. You'll build and optimise data pipelines, lakehouses and data warehouses, using PySpark, Python, T-SQL and DAX to deliver scalable, high-performing solutions that drive business intelligence and analytics. Working closely with stakeholders across the business … years' experience in Data Engineering and hands-on experience with Microsoft Fabric, Databricks, Snowflake or similar cloud platforms. You'll have strong Python/PySpark skills, experience integrating with APIs, and a background in Agile development. If you're a detail-oriented problem solver with excellent analytical skills ...

designing, developing and maintaining cutting-edge data solutions within Microsoft Fabric. You'll build and optimise data pipelines, lakehouses and data warehouses, using PySpark, Python, T-SQL and DAX to deliver scalable, high-performing solutions that drive business intelligence and analytics. Working closely with stakeholders across the business … years' experience in Data Engineering and hands-on experience with Microsoft Fabric, Databricks, Snowflake or similar cloud platforms. You'll have strong Python/PySpark skills, experience integrating with APIs, and a background in Agile development. If you're a detail-oriented problem solver with excellent analytical skills ...