1 to 25 of 99 Remote Permanent Scala Jobs

GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and technologies (AWS, Azure, GCP) for big data processing and platform deployment. Strong knowledge of data warehousing More ❯

improving the engineering culture at Depop and encourage others around you to follow these values What You'll Bring Advanced knowledge in a high-level programming language (e.g. Python, Scala) with proven foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation-first mindset Experience delivering data compliance & privacy solutions ensuring that we uphold data More ❯

security, compliance, and data governance standards (e.g. GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake More ❯

security, compliance, and data governance standards (e.g. GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake More ❯

Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python , Scala , or Java . Demonstrated experience owning and delivering complex systems from architecture through implementation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical More ❯

complex real-world problems Drive innovation in fraud analytics, data engineering, and AI applications What You Bring Proven experience in Java or a similar OOP stack (e.g., C#, Kotlin, Scala) Strong grasp of REST APIs, microservices, and containerisation (Docker/Kubernetes) Agile mindset with strong software engineering fundamentals Passion for innovation, learning, and leading by example Familiarity with DevOps tools More ❯

to their growth and development Apply agile methodologies (Scrum, pair programming, etc.) to deliver value iteratively Essential Skills & Experience Extensive hands-on experience with programming languages such as Python, Scala, Spark, and SQL Strong background in building and maintaining data pipelines and infrastructure In-depth knowledge of cloud platforms and native cloud services (e.g., AWS, Azure, or GCP) Familiarity with More ❯

Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version control tools like Git and knowledge of CI/CD pipelines Familiarity with software testing methodologies and More ❯

Familiarity with AI & Machine Learning (AI-ML) concepts Preferred Qualifications: • Experience developing production grade applications in Spark. • Experience developing analytics applications in Spark or similar • Strong programming skills in Scala, or Python Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be More ❯

review standards and agile delivery. Contributing to technical strategy and mentoring other engineers. What You’ll Need: Strong experience in data engineering with expertise in languages such as Python, Scala, or Spark. Proficiency in designing and building data pipelines, working with both structured and unstructured data. Experience with cloud platforms (AWS, Azure, or GCP), using native services for data workloads. More ❯

define requirements and deliver innovative solutions Support internal capability development by sharing your expertise and experience What We're Looking For Strong hands-on experience with Python, Java, or Scala Proficiency in cloud environments (AWS, Azure, or GCP) and big data tech (Spark, Hadoop, Airflow) Solid understanding of SQL, ETL/ELT approaches, and data modelling techniques Experience building CI More ❯

serving layers Experience with data lakehouse architecture, schema design, and GDPR-compliant solutions Working knowledge of DevOps tools and CI/CD processes Bonus Points For Development experience in Scala or Java Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem Understanding of data privacy regulations, including GDPR, and experience working with sensitive data Ability to learn and adapt new technologies More ❯

driven APIs, and designing database schemas and queries to meet business requirements. A passion and proven background in picking up and adopting new technologies on the fly. Exposure to Scala, or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase More ❯

as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data More ❯

as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI Key skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to More ❯

re solving for reliability, compliance, performance, and speed - at once. You'll be key to making it work. Required Skills: Knowledge of one or more programming languages (Java/Scala, TypeScript, Python). Validated experience operating distributed systems at scale in production. Cloud AWS (primary), Kubernetes (future), Docker (current), Terraform. Excellent debugging skills across network, systems, and data stack. Observability More ❯

control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. Understanding of the principles of data More ❯

control, task tracking). ·Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. ·Experience in other programming languages for data manipulation (e.g., Python, Scala). ·Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. ·Understanding of the principles of data More ❯

control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. Understanding of the principles of data More ❯

understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/or More ❯

You are great at problem solving and see all technologies/engineering as a means to achieve this. You have advanced working knowledge of a general programming language (e.g. Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have working knowledge More ❯

Statistics, Mathematics, or related field 7+ years of experience in data science or related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and More ❯

culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Astro, Cloudflare, Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone . Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a More ❯

culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Astro, Cloudflare, Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone . Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a More ❯