1 to 25 of 26 Remote Apache Spark Jobs in the South East

Hybrid Languages: English Key skills: 5+ years of Data Engineer. Proven expertise in Databricks (including Delta Lake, Workflows, Unity Catalog). Strong command of Apache Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT … Rights to work in the UK is must (No Sponsorship available) Responsibilities: Design, build, and maintain scalable and efficient data pipelines using Databricks and Apache Spark. Collaborate with Data Scientists, Analysts, and Product teams to understand data needs and deliver clean, reliable datasets. Optimize data workflows and storage (Delta More ❯

or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and More ❯

Argo, Dagster or similar. Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources. Expert in large-scale data processing with Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch More ❯

data services. DataOps Knowledge: Experienced with CI/CD for data workflows, version control (e.g., Git), and automation in data engineering. Desirable: Experience with Apache Spark Familiarity with machine learning frameworks and libraries Understanding of data governance and compliance Strong problem-solving and analytical skills Excellent communication and More ❯

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What More ❯

excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for More ❯

the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills. Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of machine learning and AI integration with data architectures. Certification in cloud platforms or data management. More ❯

including OAuth, JWT, and data encryption. Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise More ❯

degree (or equivalent) in a Quantitative Discipline 4+ years of experience in ML engineering, software development, or data solutions. Proficiency in modern programming languages (Spark, Python, Scala). Experience with Big Data and Cloud Technologies (Preferably Microsoft Azure). Experience coaching and mentoring junior developers. Strong communication skills and More ❯

Deep expertise with Databricks and modern data platforms in the cloud (Azure, AWS, or GCP). Strong technical background in big data frameworks (e.g., Spark, Kafka), distributed systems, and scalable data architectures. Excellent understanding of data governance, security, and privacy, with practical knowledge of GDPR compliance. Track record of More ❯

technologies. Experienced in writing and running SQL and Bash scripts to automate tasks and manage data. Skilled in installing, configuring, and managing Hive on Spark with HDFS. Strong analytical skills with the ability to troubleshoot complex issues and analyze large volumes of text or binary data in Linux or More ❯

Machine learning expertise (scikit-learn, TensorFlow) * Degree in Computer Science, Statistics, Data Science, Mathematics or a related field Technical Skills: * Data tools: Pandas, NumPy, Spark, Airflow * Databases: SQL/NoSQL Details: * Hybrid working (3 days office, 2 days remote) * £55,000 - £65,000 + good benefits Location: Guildford area More ❯

data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases such as Oracle and SQL Server . Knowledge of data governance platforms like Purview More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

. Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies (e.g., Spark, Kafka). Ability to define and enforce data governance standards. Experience in providing architectural guidance, mentorship and leading cross-functional discussions to align on More ❯

contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a More ❯

MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/ More ❯

data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a More ❯

data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful Strong experience with Python, with any additional skills with R and/or C++ of benefit Experience of building a More ❯

any environment. On average every day 10,000 new app downloads from the app stores contain our code. Our innovative solutions create meaningful connections, spark real change, and drive success for businesses around the world. If you’re ready to be part of a team shaping the future of More ❯

learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation frameworks while implementing automation that drives government efficiency. You'll collaborate with stakeholders to transform legacy systems, implement data governance frameworks … analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark; Software development methods and techniques e.g. Agile methods such as SCRUM; Software change management, notably familiarity with git; Public sector best practice guidance, e.g. More ❯

Data Engineer (Python Spark ETL) London/WFH to £90k Are you a tech savvy Data Engineer keen to make an impact, delivering Greenfield systems? You could be progressing your career at a successful and growing Cyber Security Risk Management tech company that specialises in solutions for SME's … ago. You'll take ownership of building a new Data Lake from scratch using a range of modern tools and technologies, primarily Python and Spark in an AWS environment. This is an impactful role where you'll be at the heart of the technology function to drive optimisations and … ELT processes and data pipeline orchestration You have strong Python and SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills More ❯

Data Engineer (Python Spark ETL) London/WFH to £90k Are you a tech savvy Data Engineer keen to make an impact, delivering Greenfield systems? You could be progressing your career at a successful and growing Cyber Security Risk Management tech company that specialises in solutions for SME's … ago. You'll take ownership of building a new Data Lake from scratch using a range of modern tools and technologies, primarily Python and Spark in an AWS environment. This is an impactful role where you'll be at the heart of the technology function to drive optimisations and … ELT processes and data pipeline orchestration You have strong Python and SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills More ❯

Role: Backend Python & AI Engineer Location: London | Hybrid Working (2 days in Office) An ambitious and fast-growing financial technology company on a mission to transform how people understand and interact with their personal finances. By combining intelligent technology with More ❯