151 to 175 of 810 Scala Jobs

record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar) - 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2 More ❯

Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks, Snowflake. Architectural and/or feature knowledge of one or more of the following Programming Languages/Packages: Python, Java, Scala, Spark, SQL, NoSQL databases. Experience working within Agile delivery methodologies. Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and More ❯

integration, or deploying generative AI capabilities at scale. Core Technical Skills • Strong experience in generative AI, data science, Machine Learning (ML), and business analytics • Proficient in Python (preferred), R, Scala, or similar languages • Expertise in SQL, ETL, NoSQL, data warehousing, and big data tools (e.g., PySpark, Hive) • Skilled at working with structured and unstructured data (e.g., text, PDFs, audio, video More ❯

the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Testing/quality More ❯

Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates. Strong proficiency in Spark, SQL, and Python/scala/Java. Experience in building Lakehouse architecture using open-source table formats like delta, parquet and tools like jupyter notebook. Strong notions of security processes (e.g., using Azure Key Vault More ❯

the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: The job you're considering The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen More ❯

Data Lead CIRCA £80,000 DOE Manchester- 1 day per week The Data Lead will build and lead the organisations data engineering capability, ensuring a scalable, cost-effective platform that supports the company’s ambition to be data-led. Initially More ❯

We'd love to hear from you if you Thrive in a diverse, open and collaborative environment where impact is as valuable as technical skill. Have proficient knowledge of Scala and the JVM ecosystem. Possess familiarity of functional programming paradigms and a willingness to adopt other languages (not only JVM languages). Have consistent background in software development in high More ❯

required: Yes col-narrow-right Job Reference: 165ff25b75dc Job Views: 55 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: Description Help Shape the Future of Value Transfer — Learn Scala, Work with Big Data, and Make an Impact Are you an ambitious software engineer with a passion for data, problem-solving, and building meaningful products? Are you eager to learn … new technologies like Scala and big data platforms in a supportive, forward-looking environment? At Elliptic, we’re building the technology that powers safer cryptocurrency ecosystems—and we want you to grow with us. We’re looking for a UK-based software engineer with 2–4 years of experience to join our growing Data Platform team. You’ll collaborate with … talented engineers, data scientists, and product managers to tackle challenges in blockchain analysis, high-scale data processing, and real-time event streams. Don’t know Scala yet? No problem! We’re happy to support developers with Java, Python, or similar experience who are hungry to learn and apply functional programming principles on a modern data platform. Why Elliptic? Transparency, continuous More ❯

cross-functional environment to solve problems and write code. Own your code and workflows through their entire lifecycle. Document feature development. Qualifications: Ability to write high-quality code in Scala, Java, or Python. Experience with distributed datastores (e.g., DynamoDB, Redshift, AWS Athena). Knowledge of message queues (e.g., RabbitMQ, Apache Kafka). Experience building scalable web applications handling 10,000s … PostgreSQL. Familiarity with DevOps culture and CI/CD pipelines. Proactive problem-solving skills and the ability to work independently or seek guidance when needed. Must haves: Experience with Scala, Java, or Python. Experience collaborating with Frontend Engineers (Web/Mobile). Proficiency in testing solutions at various levels - unit, integration, etc. Experience with relational or non-relational databases, preferably More ❯

following GCP data processing services: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow). Proficiency in at least one scripting/programming (e.g., Python, Java, Scala) for data manipulation and pipeline development. Scala is mandated in some cases. Deep understanding of data lakehouse design, event-driven architecture, and hybrid cloud data strategies. Strong proficiency in SQL 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 ❯

or Dutch (English proficiency is a plus). Proven experience as a Data Engineer , preferably in a freelance or consulting capacity. Strong expertise in SQL, Python, and/or Scala . Experience with big data technologies (Spark, Hadoop, Kafka) is a plus. Hands-on experience with cloud platforms (AWS, Azure, Google Cloud). Knowledge of ETL tools, data warehouses (Snowflake More ❯

Proven track record in Data Engineering and supporting the business to gain true insight from data. Experience in data integration and modelling including ELT pipelines. Strong SQL, Python/Scala/R; experience with ELT pipelines and Power BI Solid knowledge of data Lakehouse architecture and Azure services Insurance or MGA data experience preferred Strong communication, stakeholder engagement, and problem More ❯

What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with More ❯

What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with More ❯

What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with More ❯

Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS, GCP, or Azure) Excellent stakeholder management and communication skills A strategic mindset, with a practical approach to delivery and 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 ❯

works effectively with guidance from senior team members to successfully implement data solutions. The candidate must be proficient in SQL and at least one scripting language (e.g. Python, Perl, Scala), with strong understanding of data management fundamentals and distributed systems concepts Key job responsibilities - Build and optimize physical data models and data pipelines for simple datasets - Write secure, stable, testable More ❯

on industry evolution and technology's future role. Technical skills Experience with large-scale delivery, agile, DevOps, waterfall, and tools like JIRA, Pivotal, Confluence. Engineering skills: SQL, Python, Java, Scala, XML/FpML, Power BI. Solution and data architecture, AI, integration, testing, automation, cloud technologies, security, and emerging tech awareness. Experience with vendor packages and AI/ML. Academic and More ❯

the estimated effort and technical implications of user stories and user journeys. Coaching and mentoring team members. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Strong software development experience in one of Java, Scala, or Python Software development experience withdata-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Experience of developing substantial components for large-scale data processing solutions and deploying into More ❯

the estimated effort and technical implications of user stories and user journeys. Coaching and mentoring team members. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Strong software development experience in one of Java, Scala, or Python Software development experience withdata-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Experience of developing substantial components for large-scale data processing solutions and deploying into More ❯

is beneficial. • Experience of providing third line support & working closely with application support, operations, and infrastructure teams for debugging & issue resolution. • Knowledge of Big Data platforms such as Spark, Scala, Hive, HDFS, Map Reduce, Yarn, HBASE, or Kafka is an advantage. Visa is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified More ❯