1 to 25 of 94 Permanent PySpark Jobs in the UK

performance, scalability, and reliability. Technical Skills required: RedShift Glue (inc. Glue Studio, Glue Data Quality, Glue DataBrew) Step Functions Athena Lambda Kinesis Python, Spark, Pyspark, SQL Your contributions as a Data Engineer will directly impact the organization's operations and revenue. In addition to a competitive annual salary, we more »

requiring 2-3 days onsite) and is paying up to £110,000 per annum Key Skills Strong commercial experience with Python/SQL/PySpark Knowledge of converting business requirements to engineering processes Azure environment - Data Bricks & Data Factory Industry experience with Insurance would be highly desirable The processing more »

currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join more »

solutions in a production setting. Knowledge of developing real-time data stream systems (ideally Kafka). Proven track record in developing data systems using PySpark and Apache Spark for batch processing. Capable of managing data intake from various sources, including data streams, unstructured data, relational databases, and NoSQL databases. more »

with various databases e.g. MS SQL, Azure Cosmos DB. Skilled at optimizing large and more complicated SQL statements. Proficiency in Python and experience with PySpark Experience using: CI/CD, Microsoft Azure, and Azure Dev Ops in an agile environment. Knowledge of Azure ETL services, i.e. Data Factory, Synapse more »

Cycle · Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Preferred qualifications, capabilities, and skills: · Skilled with Python or PySpark · Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka) · Experience with Big Data solutions or Relational DB. · Experience in Financial Service Industry is more »

understand consumers Hands-on data engineering/development experience, preferably in a cloud/big data environment Skilled in at least one of Python, PySpark, SQL or similar Experience in guiding or managing roles in insight or data functions, delivering data projects and insight to inspire action and drive more »

understand consumers. Hands-on data engineering/development experience, preferably in a cloud/big data environment Skilled in at least one of Python, PySpark, SQL or similar Experience in guiding or managing roles in insight or data functions, delivering data projects and insight to inspire action and drive more »

that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors Degree more »

a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »

experience working directly with C-Suite execs. Technical Expertise Needed At least 3 years Databrick s (must have) Proven experience delivering scalable data pipelines PySpark SQLDevOps/DataOps/CICD Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes Data Modelling/Data Architecture Data Migration more »

for: -Data Engineering + Data Science Experience -Strong ETL Experience -Experience with Computer Vision -Experience in Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

DevOps and CI/CD tools, Azure Cloud, Microsoft Fabric, Azure Services, Apache Spark, Experience of using IAC (terraform, APIs), Data Engineer, Big Data, PySpark You will be responsible for the platform and its integration with enterprise services & capabilities that ensure the platform & processes are robust, secure and compliant. more »

Engineer you will be pivotal in designing, developing, and maintaining data architecture and infrastructure. The ideal candidate should have a strong foundation in Python, PySpark, SQL, and ETL processes, along with proven experience in implementing solutions in a cloud environment. Roles & Responsibilities: Experienced Data Engineer with a background in more »

/marketing but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below more »

customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Apply below more »

experience in Data Modeling within a cloud-based data platformStrong experience with SQL ServerAzure data engineering stack, including Azure Synapse and Azure Data LakePython, PySpark and T-SQL In return you will be offered a competitive salary and benefits package, remote working options and an opportunity to work with more »

on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

experience as a Data Engineer. Strong proficiency in AWS and relevant technologies Good communication skills Preferably experience with some or all of the following; Pyspark, Kubernetes, Terraform Expeirence in a start-up/scale up or fast-paced environment is desirable. HOW TO APPLY Please register your interest by more »

up with a high performance Data Architecture Good to have the Retail functional Knowledge Must have Good Knowledge and Hands on experience in Python PySpark ADF and ADB Good to have Knowledge in ADF CI CD Experience in designing architecting and implementing large scale data processing data storage data … delivery teams Supporting business development and ensuring high levels of client satisfaction during delivery Skills Must have strong hands-on technical Skills in Python Pyspark Azure Databricks Spark ETL Cloud Azure preferred Good to have knowledge on ADF CI CD more »

Data Engineer We're partnering with a with a global financial services institution that are embarking on an ambitious project: to build an industry-leading data platform. The long-term vision is to migrate all data within the coming years more »

I have placed quite a few candidates with this organisation now, all have said glowing reviews about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure more »

a strong background in business change and transformation focussed expressly around Data analytics and Big data platforms. 5+ years of Big Data Experience utilising Pyspark 5+ years of managing data analytical projects within a financial domain (Banking/Investments) Background within investment managment, financial services, etc. Project management experience more »

months to begin with & its extendable Location: Leeds, UK (min 3 days onsite) Context: Legacy ETL code for example DataStage is being refactored into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Skills: Spark Architecture – component understanding around Spark … Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans. Spark SME – Be able to analyse Spark code failures through Spark Plans and make correcting recommendations. Spark SME – Be able to review PySpark and Spark SQL jobs and make performance improvement recommendations. Spark – SME Be able … are Cluster level failures. Cloudera (CDP) – Knowledge of understanding how Cloudera Spark is set up and how the run time libraries are used by PySpark code. Prophecy – High level understanding of Low-Code No-Code prophecy set up and its use to generate PySpark code. more »

engineering leaders/stakeholders in decision making and implementing the models into production. You will need to have hands on skills in Python and PySpark, experience working in a cloud environment and knowledge of development tools like Git or Docker. You can also expect to work with the latest more »