1 to 25 of 72 PySpark Jobs

Senior Data Engineer Remote working Salary £65,000 - £70,000 plus benefits DataBricks, PySpark, SQL We are looking for a talented Senior Data Engineer to join one of the UK's leading research and law ranking companies at an exciting time of growth. Build new products, engineer new solutions more »

Openshift) and cloud providers like AWS, Azure, GCP or others. Experience in key technologies to be leveraged by the team including Java, Python/PySpark, Spark, CI/CD technologies Experience in Machine Learning Platforms and Data Science Technologies Experience working with a variety of data platforms such as more »

following technologies Azure Synapse, Data Factory, Databricks, SQL Db, Datalake, Key Vault Azure Dev Ops and CI/CD pipelines Coding in SQL and PySpark/Python DW/Data Vault concepts Power BI Experience with core Finance reporting (Projects, GL, AP, AR etc) - Highly desirable Preferred experience Knowledge more »

Ideal Candidate Profile: Proven track record in big data engineering with a solid understanding of ETL pipelines and data system projections. Proficiency in Python, PySpark, SQL, and familiarity with data science tools like R, ML, AI. Strong foundation in database management (SQL and No-SQL databases such as Aurora 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 »

a generous benefits package. Technical Experience Required: Demonstrated expertise in data engineering with a focus on Azure services. Proficiency in SQL, Azure Databricks, and PySpark, handling unstructured/semi-structured data, with experience of schema evolution and/or serialisation. Extensive experience in building and optimizing data pipelines. Experience more »

month contract. Essential Skills: Insurance/Financial Services experience is highly desirable Design efficient and scalable data models. Azure Databricks (preferably), SQL, Python, PySpark, dimensional/star schema data modelling. Understanding of Conceptual, Logical and Physical Data Models Experience in ETL/ELT as well as Entity Relationship (ER more »

the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You can 📧 your cv to matt@hawksworthuk.com or message me on LinkedIn. Ideally you'll have plenty of more »

Must have experience of leading a team- Must also be hands on Apache JMeter with Groovy scripting TestCafe (Node Package Manager) – JavaScript/TypeScript PySpark – Python and Spark AWS Elastic Kubernetes Service (EKS) and Docker setup, administration, configuration AWS PostGres & Grafana setup, administration and configuration to store and visualise more »

enterprise strategy and overall industry trends. Big Data Technologies such as Hadoop, Spark, Kafka, etc. Hadoop: 5+ years Kafka: 3+ years Spark: 4+ years PySpark: 3+ years more »

A 6-month initial contract working on a range of greenfield projects, within a systematic trading firm based in the City. This is an Outside IR35 Position, offering circa £700 per day. You’re going to be playing a crucial more »

months to begin with & its extendable Location: Sheffield, 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 »

the insurance domain is advantageous. - Education : A degree in Computer Science, Data Science, Engineering, or a related discipline. Technical Skills : Proficient in Python, SQL, PySpark, and Databricks. Demonstrated proficiency in modern NLP techniques and tools. Proven track record in developing and managing data quality metrics and dashboards. Experience collaborating more »

applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools, particularly Databricks and Pyspark, is highly desirable. Experience in agile software development processes is a plus. Experience in insurance, cyber, or a related domain is ideal. Understanding of more »

experience of this is a strong preference. However other Cloud platFforms like AWS/GCP are acceptable. Coding - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. What’s next? If you believe you have the more »

of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. · Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. · Machine Learning and Data Science Tools - Any experience in more »

and SQL Exposure to developing in a cloud platform such as AWS, GCP or Azure Knowledge of big data technologies e.g., Trino, Hadoop or Pyspark Ability to build trusted and credible relationships with your peers, stakeholders, and customers. Analytical thinker and natural problem solver If this sounds like you 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 »

of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable. • Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential. Their lovely offices are based in the West Midlands more »

modern NLP methods required. Specifically: Transformers models (ex. BERT), LLMs, RAG & Fine-Tuning, OpenAI Stack, Langchain etc. Experience with Big Data technologies a plus —PySpark, H20.ai, Cloud AI platforms, Kubernetes Must be able to translate business requirements into analytical problems Must have proven ability to merge and transform disparate more »

understand the benefits, pros and cons of various technical options. Required skills: Strong experience within a Data Engineering role Excellent understanding of Databricks and Pyspark Strong knowledge of Azure Cloud Services Excellent understanding of SQL Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good more »

Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/… environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »

London, UK Do you strive for engineering excellence and are ready to lead a modern tech transformation ? Do you have experience as a Azure, Pyspark, Cloud? We have the perfect role for you- Data Engineer - Tech Lead Careers at TCS: It means more TCS is a purpose-led transformation … design, development, and maintenance of Azure-based data pipelines and analytical solutions using Databricks, Synapse, and other relevant services. Perform Data Transformations: Leverage SQL, PySpark, and Python to perform data transformations, aggregations, and analysis on large datasets. Architect Data Storage Solutions: Architect data storage solutions using Azure SQL Database more »

continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing SQL more »

Principal Data Engineer – National Salary Circa £80,000. London Salary Circa £100,000. Do you like working with the latest technology and are interested in enhancing your tech abilities? We have an exciting opportunity for an Engineer Manager with significant more »