1 to 25 of 32 PySpark Jobs with Hybrid or WFH Options

levels of the organisation to achieve the business's objectives. We use modern tools and methodologies, leveraging cloud services (AWS), Step Functions, Glue, Athena , PySpark and of course, SQL and Python. We work in an agile manner, delivering iteratively through a metadata-driven approach which allows us to generate more »

Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level designs for Data more »

Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a consultative approach Ability to deliver high to low-level designs for Data more »

Understand the nuances of dealing with structured and unstructured data, and be experienced in using databases (Mongo ideally) Experience with Linux Experience with Spark (Pyspark), Hadoop or other Big data technologies would be beneficial, but not required Benefits Why we think you'll enjoy it here: Base Salary of more »

amazing team of top-notch data scientists, software engineers, and research scientists We love what we do: Our team has an exciting tech-stack: Pyspark, Databricks, Python, and so on Corporate Social Responsibility We are incredibly proud of our contribution to our society. Working at Invent Analytics gives you more »

requirements and deliver solutions that drive business value. Requirements: 7+ years in a Data Engineering Role Excellent proficiency in SQL, Python, Microsoft Azure, Databricks, PySpark, Experience managing a team Details: Start Date: ASAP Duration: 3 months, option for permanent extension Day rate: Up to £400Ltd, depending on experience Annual more »

and ensuring best practices and understood and followed. Technical Skills and Qualifications Expert knowledge in python including libraries/frameworks such as pandas, numpy, pyspark Good understanding of OOP, software design patterns, and SOLID principles Good experience in Docker Good experience in Linux Good experience in Airflow Good knowledge more »

to join their team. The primary focus of the role is Databricks data engineering. You will be building data pipelines using Databricks, coding using PySpark, and supporting internal applications. You will also be using Python for Data Transformations and work across the Azure Data Platform. Must Have Strong Databricks more »

requirements and design scalable and efficient solutions to meet business needs. Implement data pipelines, ETL processes, and data transformations Strong experience with Azure Databricks, PySpark, and Python Integrate diverse data sources and formats, including structured and unstructured data, streaming data, and APIs. Technical skills: Strong proficiency in Python Extensive more »

snowflake schemas. Knowledge of DevOps practices within a Power BI environment. Familiarity with Microsoft Fabric & Databricks. SQL databases expertise, data engineering with Python and PySpark, and knowledge of geospatial concepts and tools. As part of this engagement, you will work on initiatives that redefine business efficiency through AI. You more »

building a massively distributed cloud-hosted data platform that would be used by the entire firm. Tech Stack: Python/Java, Dremio, Snowflake, Iceberg, PySpark, Glue, EMR, dbt and Airflow/Dagster. Cloud: AWS, Lambdas, ECS services This role would focus on various areas of Data Engineering including: End more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register more »

STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register 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 »

Onsite : Hybrid Extensive experience working with large data sets with hands on technology skills to design and build robust Big Data solutions using Spark PySpark framework and Industry standard frameworks like Databricks Azure DevOps and other tools technologies on Azure Cloud Platform Key Roles and Responsibilities Understand the requirement … 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 deliver 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 »

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 »

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 »

Pyspark Developer – Up to £75K + Bonus + Benefits – Hybrid Working – Glasgow Overview: A leading global consultancy are looking for an experienced Pyspark Developer/Engineer where will play a crucial role within an Agile team, focusing on the enhancement, construction, and delivery of top-tier technology products 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 »

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 »

the Insurance and technology sector, renown for its outstanding working culture, in a Data Engineering role. The role will require someone who has strong Pyspark and SQL experience alongside an Azure background. Key responsibilities: Develop low to high complexity, secure, governed, high quality, efficient data pipelinesfrom a variety of … and reporting & visualisation solutions in recognised BI tools such as PowerBI. Skills required: Strong experience with SQL server and/or Azure (Synapse, Datafactory) Pyspark Experience of designing and building end to end data solutions A good understanding of the full data lifecycle The ability to coach/mentor 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 »

snowflake schemas. Knowledge of DevOps practices within a Power BI environment. Familiarity with Microsoft Fabric & Databricks. SQL databases expertise, data engineering with Python and PySpark, and knowledge of geospatial concepts and tools. As part of this engagement, you will work on initiatives that redefine business efficiency through AI. You more »

candidate needs experience and confidence to speak up when several teams can be involved in delivering the project. There is a massive emphasis on Pyspark and Databricks for this particular role. Technical Skills Required: Azure (ADF, Functions, Blob Storage, Data Lake Storage, Azure Data Bricks) Databricks Spark Delta Lake … SQL Python PySpark ADLS Day To Day Responsibilities: Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions. Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously learn and adapt 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 and propensity. Expertise in utilizing SQL for more »