151 to 175 of 906 Scala Jobs in England

to work as part of a client delivery team, working to the highest technical standards. What will you need to do it? Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance of data pipelines and infrastructure More ❯

Knowledge of No Sql dbs (dynamo db, Cassandra) Knowledge of node based architecture, graph databases and languages – Neptune, Neo4j, Gremlin, Cypher Experience 5+ years of experience with Databricks, Spark, Scala,PySpark, Python 5+ years of experience in SQL and database technologies like Snowflake or equivalent. 3+ year of experience with data and ETL programming (Ab Initio) 3+ years of experience More ❯

you: 5+ years of experience in software development, with a strong focus on backend technologies and building distributed services. Proficiency in one or more programming languages including Java, Python, Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or More ❯

up to date with new technology developments to identify cutting-edge innovations for potential future projects. Requirements Expertise in development languages including but not limited to: Java/J2EE, Scala/Python, XML, JSON, SQL, Spring/Spring Boot. Expertise with RESTful web services, Spark, Kafka etc. Experience with relational SQL, NoSQL databases and cloud technologies such as AWS/ More ❯

DevOps). Up-to-date knowledge of security practices, standards, and protocols related to API development. Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations/observability. Experience with API management platforms and tools (e.g., Apigee, AWS API Gateway, Postman). Deep expertise in modern software development More ❯

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, AutoML, Python/R, and MLOps (MLflow, Kubeflow). Solid in DevOps More ❯

strategy Data Science or AI/ML solution architecture Proficiency in development/languages related to data processing, data manipulation, sampling, and reporting. (Python/SQL/Java/Scala/etc.) Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming More ❯

Social network you want to login/join with: Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation More ❯

their favourite shows is a challenge that we relish. This means scaling, and reliability is our primary focus in everything we build. The User Services Teams: We are functional Scala enthusiasts (Cats/Scalaz/ZIO/shapeless etc) that care about following best practice. We're responsible for things like registration, login and authentication, profiles and personalisation and compliance … experienced advocates of functional programming so you can expect to join a team that is applying principles from FP, Reactive Programming and Distributed Computing to build these services, using Scala, Akka, Kafka, Play and Cats, as well a wide range of cloud-native technologies including AWS (Kinesis, DynamoDB, Lambda), Docker and Serverless. We have a mature DevOps culture in place … where the team is responsible for the infrastructure and deployment of those applications - "You build it, you run it." What you will do: You will be using Scala, Akka, Kafka, Kinesis, and Dynamo to build and innovate our software that is distributed, reactive, and scalable. You will: Contribute to or lead a significant part of the implementation and deployment of More ❯

You are here: Home/Job Search/Senior Big Data Engineer/Architect – Scala – Distributed Systems Job Title: Senior Big Data Engineer/Architect – Scala – Distributed Systems Location: London AMS is the world’s leading provider of Talent Acquisition and Management Services. Our Contingent Workforce Solutions (CWS) service, partner with Deutsche Bank to support contingent recruitment processes. On behalf … of Deutsche Bank, we are looking for a Senior Big Data Engineer/Architect with Scala for an initial 6-month contract on a hybrid basis in London. Deutsche Bank is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives an established position in Europe plus a significant … architect enterprise data systems. Migrate on-prem systems to Google Cloud Platform (GCP), leveraging Dataproc, BigQuery, and other GCP-native tooling. Use technologies such as Apache Spark, Hadoop, and Scala to process large-scale distributed datasets. Contribute to infrastructure automation (CI/CD) and hybrid cloud deployment pipelines using tools such as GitHub Actions, Renovate, CodeQL, and Quality Gate. Apply More ❯

re Looking For: ️ Proven experience as a Data Engineer or in a similar role focused on data pipeline development ️ Strong programming skills in languages such as Python, Java, or Scala ️ Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, MySQL, Cassandra) ️ Familiarity with cloud data platforms such as AWS, Google Cloud, or Azure ️ Experience with data processing frameworks (e.g., Apache More ❯

both verbal and written. Effective time management, organization, and prioritization skills. Experience managing and developing engineers or technical contributors. Deep knowledge of at least one web backend language: Python, Scala, Java, JavaScript (Node.js), including tools for documentation, testing, and operations. Experience deploying applications in cloud environments like Google Cloud (preferred), AWS, Azure. Proficiency with modern development tools (git/GitHub … monitoring). Front-end skills: JavaScript, Typescript, React.js, Angular.js, or similar. API development using REST, GraphQL, gRPC, or similar standards. Experience with open-source web frameworks in Python, Java, Scala, or similar. Knowledge of Authentication & Authorization mechanisms like OAuth2. Experience with CI/CD pipelines and tools. Familiarity with agile development, Jira, Confluence. Preferred: Master’s degree or higher. Experience More ❯

services to distribute data to different consumers across PWM. Technologies used include: Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy - a data management and data governance platform Programming Languages: Java, Scala, Scripting Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ/ASE Micro Service Technologies: REST, Spring Boot, Jersey Build and CI/CD Technologies: Gradle, Jenkins, Gitlabs, SVN Cloud Technologies … in code review and collaborate in experimenting new tech stacks SKILLS AND EXPERIENCE WE ARE LOOKING FOR Computer Science, Mathematics, Engineering or other related degree at bachelors level Java, Scala, Scripting, REST, Spring Boot, Jersey Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE 3+ years of hands-on experience on relevant technologies ABOUT GOLDMAN SACHS At Goldman Sachs More ❯

like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Familiarity with big data More ❯

with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, programming languages (Python, R, Scala). Experience with SQL, NoSQL, data visualization, and statistical tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior understanding. Familiarity with big data technologies More ❯

overtime, and emphasis on work-life balance Responsibilities: Lead client delivery, ensuring high standards Bring experience in cloud data engineering and contribute to team solutions Requirements: Experience with Python, Scala, Spark, SQL Knowledge of database technologies (Oracle, MySQL, MongoDB, etc.) Design, build, and maintain data pipelines and infrastructure Understanding of data security and system architecture Experience with code review standards More ❯

like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data More ❯

as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Experience with statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis. Experience with SQL and NoSQL databases, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge More ❯

AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis and modeling. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and understanding user behavior. Familiarity More ❯

/Iceberg. Strong experience with Azure services: Synapse Analytics, Data Factory, Data Lake, Databricks, Purview, SQL, Cosmos DB, and more. Proficiency in Spark, SQL, and programming languages like Python, Scala, or Java. Experience in building Lakehouse architectures using open-source table formats and tools like Jupyter notebooks. Knowledge of security best practices in cloud environments, including Azure Key Vault, IAM More ❯

Azure, Snowflake and Terraform is advantageous ·Experience of knowledge of containers such as Docker and Kubernetes is advantageous ·Familiarity with at least one programming language (e.g. Python, Java, or Scala) ·Proven experience of data warehousing concepts and ETL processes ·Strong analytical skills and attention to detail ·Excellent verbal and written communication skills in English is essential ·Airline experience is advantageous More ❯

Azure, Snowflake and Terraform is advantageous Experience of knowledge of containers such as Docker and Kubernetes is advantageous Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience of data warehousing concepts and ETL processes Strong analytical skills and attention to detail Excellent verbal and written communication skills in English is essential Airline experience is advantageous More ❯