51 to 75 of 76 Permanent PySpark Jobs in the UK

experience in PowerBi would also be useful. You will be a Engineer with past experience with java, data, and infrastructure (devOps). Java, Python, PySpark Mechanisms: MongoDB, Redshift, AWS S3 Environments/Infra: AWS (required), [AWS Lambda, Terraform] (nice to have) Platforms: Creating data pipelines within Databricks or equivalent more »

or customer experience-related problems such as workforce management, demand forecasting, or root cause analysisStrong visualisation skills including experience with TableauFamiliarity with Databricks and PySpark for data manipulation and analysisFamiliarity with Git-based source control methodologies, including branching and pull requestsA self-starter, passionate about converting data into actionable more »

vision to convert data requirements into logical models and physical solutions. with data warehousing solutions (e.g. Snowflake) and data lake architecture, Azure Databricks/Pyspark & ADF. retail data model standards - ADRM. communication skills, organisational and time management skills. to innovate, support change and problem solve. attitude, with the ability more »

directly with clients. Supporting clients in platform discovery, integration, training, and collaboration on data science projects. Proficiency in technical skills, particularly Python, R, SQL, Pyspark, and JavaScript. Assisting users in mastering the platform. Analysing diverse data and ML applications. Providing strategic insights to ensure customer success. Collaborating with customers more »

in STEM subjects. Strong experience in data pipelines and deploying ML models Preference for experience in retail/marketing Tech across: Python, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs Experience in feature engineering and third-party data Apply below more »

contract position. If you possess a solid background in software application development, with experience in cloud or microservice architecture, and proficiency in Python or PySpark, we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS more »

systems and offer improvements that will help reduce technical/code/engineering debt. Key Skills: Extensive experience with Machine Learning and Spark/PySpark Recommendation systems, pattern recognition, data mining, artificial intelligence Modern Parallel Computing; distributed clusters, multicore servers, GPU’s Experience with developing machine learning models at more »

of 4 years commercial experience 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 »

following:Minimum of 4 years commercial experienceStrong proficiency in AWS and relevant technologiesGood communication skills Preferably experience with some or all of the following; Pyspark, Kubernetes, TerraformExpeirence in a start-up/scale up or fast-paced environment is desirable.HOW TO APPLYPlease register your interest by sending your CV more »

An industry-leading organisation are looking for an experienced Senior Data Engineer who is well-versed in Databricks, PySpark and SQL to join their growing Data Engineering team. This role can be largely remote, with some travel to their Central London Head Office, likely around 2 times per month. … a wide variety of technical work. Your primary focus will be working with Databricks - you will be building data pipelines in Databricks, coding in PySpark, and supporting internal applications as they are moving away from a legacy application into new bespoke applications which rely on Databricks. This is a … to provide thought leadership, and to innovate and experiment with new technologies to deliver benefits to the business. Requirements Excellent skills in Databricks and Pyspark Excellent experience with SQL and T-SQL programming Experience designing, developing and maintaining data warehouses and data lakes Knowledge of Azure technologies including Data more »

An industry-leading organisation are looking for an experienced Senior Data Engineer who is well-versed in Databricks, PySpark and SQL to join their growing Data Engineering team. This role can be largely remote, with some travel to their Central London Head Office, likely around 2 times per month. … a wide variety of technical work. Your primary focus will be working with Databricks - you will be building data pipelines in Databricks, coding in PySpark, and supporting internal applications as they are moving away from a legacy application into new bespoke applications which rely on Databricks. This is a … to provide thought leadership, and to innovate and experiment with new technologies to deliver benefits to the business. Requirements Excellent skills in Databricks and Pyspark Excellent experience with SQL and T-SQL programming Experience designing, developing and maintaining data warehouses and data lakes Knowledge of Azure technologies including Data more »

to the ideas and delivery of the strategy; Support data queries in SQL (T-SQL/ANSI-SQL) and support data pipelines using in PySpark/Python, Databricks and AWS (Athena, Glue, S3); Analyse data needs and coordinate new data requests and data change requests. Work with clients to … Pivot Charts). Experience of supporting Data Warehousing. Basic SQL experience and understanding XML/JSON files. Basic knowledge/experience of either Python, PySpark, R, Scala etc. Experience using SQL, PowerBI, Tableau or similar tools. Preferred: Knowledge and experience of Financial Systems Support (Access Dimensions) or ServiceNow Support … and Administration. Strong knowledge of using SQL, PowerBI, Tableau etc. Strong knowledge of using Python, PySpark, R, Scala etc. Experience of supporting IT Applications and/or Platforms. Experience of cloud data solutions (AWS, Google, Microsoft Azure), AWS preferred. Degree in Business Analytics or Technology, Computer Science, Math, Statistics more »

Lead Azure Data Engineer | PySpark (Python) & Synapse | Tech for Good/Charity Rate: £500-650 per day Duration: 6-12 months IR35: Outside Location: Remote with occasional travel to London (Once every two months max) Essential skills required: Azure – solid experience required of the Azure Data ecosystem Python - ESSENTIAL … as PySpark is used heavily. You will be tested on PySpark Azure Synapse - ESSENTIAL as is used heavily Spark Azure Data Lake/Data Bricks/Data Factory Be happy to act as a lead and mentor to the other permanent Azure Data Engineers This is the chance … tool experience. Familiar with building Catalogs and lineage This is an urgent contract, so if you are interested apply ASAP. Lead Azure Data Engineer | PySpark (Python), Synapse, Data Lake | Tech for Good/Charity more »

Instances, Azure DB, Data Lakes, Azure Synapse and Power BI, Azure Data Factory). Proficiency in at least one scripting language (i.e. SQL, and PySpark/Python). Proficiency of designing and building API and API Consumption. Familiarity with data visualisations tools such as PowerBI. Proficiency in ETL/… Model, Data Platforms, Data Models, Data Architecture, Data Integration, DIAS, Microsoft Azure, Azure DB, Data Lakes, Azure Synapse, Power BI, Azure Data Factory, SQL, PySpark, Python, APIs, ETL, ELT, CI/CD, Data Pipelines, Data-as-a-Service. Please note that due to a high level of applications, we more »

Senior Data Engineer • Location: Belfast based – Hybrid - flexible working • Salary : £50,000 - £60,000 • Package : 10% bonus + 11% pension Overview One of the UK’s leading digital solution provider’s is searching for a Senior Data Engineer to join 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 »

Job DescriptionLead Azure Data Engineer | PySpark (Python) & Synapse | Tech for Good/CharityRate: £500-650 per dayDuration: 6-12 monthsIR35: OutsideLocation: Remote with occasional travel to London (Once every two months max)Essential skills required:Azure – solid experience required of the Azure Data ecosystemPython - ESSENTIAL as PySpark is … another governance tool experience. Familiar with building Catalogs and lineageThis is an urgent contract, so if you are interested apply ASAP.Lead Azure Data Engineer | PySpark (Python), Synapse, Data Lake | Tech for Good/Charity more »

Data Engineer • Location : Belfast based – Hybrid - flexible working • Salary : £32,5000 - £40,000 • Package: 10% bonus + 11% pension Overview One of the UK’s leading digital solution provider’s is searching for a Data Engineer to join their practice more »

Senior Data Engineer Up to £70k plus bonus Manchester Are you looking to take your Data Engineer career to the next level?? This company use extremely modern technologies, and you can be certain you will grow within a technical environment. 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 »

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 »

London. Responsibilities: Collaborate with cross-functional teams to gather requirements and implement solutions. Develop and maintain data processing applications using Python. Optimise and tune PySpark jobs for performance and scalability. Ensure data quality, reliability, and integrity throughout the data processing pipelines. Technical Requirements: Python: Proficiency in Python programming. Object … Oriented Design: Solid understanding of object-oriented principles and design patterns. PySpark: Experience with PySpark for data processing and analytics. Azure: Familiarity with Azure services and cloud platforms. Financial Services Background: Knowledge of financial markets, instruments, and related data. more »

such as, Code Repo, Code Workbook, Pipeline Build, migration techniques, Data Connection and Security setup. Design, develop Data Pipelines, and have excellent skills in PySpark and Spark SQL, hands on with code Build and deployment in Palantir. Must lead a team of 6-7 technical associates with PySpark more »

months to begin with & its extendableLocation: 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 … 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 to understand Data Frames/Resilient Distributed Data Sets and understand any … there 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 »

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 »