ETL frameworks. Knowledgeable in data modelling and data governance principles, with a keen eye for data quality. Versatile in database technologies, including SQL and NoSQL, and committed to ensuring data security and privacy. A problem-solver and a team player, with strong communication skills and a collaborative spirit What rewards more »
data pipelines and ETL processes. Proficiency in programming languages such as Python, Java, or Scala. Strong SQL skills and experience working with relational and NoSQL databases. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience working in higher education Please apply below if you are interested. more »
best practices. Requirements: Strong programming and engineering skills, with proficiency in Python and experience with cloud infrastructure (Google Cloud, Azure) and data infrastructure (SQL, NoSQL, inverted indexes, vector databases). A track record of successfully scaling data pipelines to handle large volumes of data continuously. Experience of managing large scale more »
Python, FastAPI, LLMs, AWS) will be a strong problem solver with experience of early businesses. Desired Skills ⚙️ Python FastAPI Large Language Models PostgreSQL, MySQL, NoSQL CI/CD, CircleCI, CloudBuild AWS Benefits 🏖 Flexible working hours Stock options If you are a skilled Engineer (Python, FastAPI, LLMs, AWS) who is interested more »
being a lead contributor in our projects and shaping the architecture of our services. About the Tech You’ll be using React, Node, Typescript, NoSQL, Docker and it would be great if you have some React Native experience too. The Offer Salaries up to £85,000 as they’re happy more »
on experience with Typescript and Infrastructure-as-code. Agile Methods: Working knowledge of agile methodologies such as Scrum or Kanban. Knowledge of SQL, and NoSQL databases. Any experience with Big Data Technologies like Spark, Snowflake or Kafka would be great! Proficiency in CI/CD for continuous development and deployment more »
degree in computer engineering or related field. Proficient in programming languages essential to data engineering, like Python. Extensive knowledge of data modeling, including SQL, NoSQL, Graph, and Vector databases. Interest in adopting new data engineering trends, such as generative AI and vector databases. Hands-on experience with data platforms, integration more »
skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you're ready to take on this exciting opportunity, please more »
system development including Options valuation, VaR, Positions, PnL, IPV etc Excellent experience building Cloud Native platforms and hands-on background in Python , SQL/NoSQL databases, and AWS technologies. Proficiency in applying software engineering best practices, including continuous integration and DevOps methodologies. Expert knowledge of derivatives pricing and risk and more »
/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB), is required Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner more »
expert level coding skills acquired in a hands-on capacity in a modern web development technology stack ideally including Node, TypeScript, React, SQL/NoSQL, serverless and cloud. b. Strong architectural experience developing upgradeable React JS micro front-end solutions using import maps is essential. c. This role is more »
orientated mindset Strong programming and engineering skills, with proficiency in Python and experience with cloud infrastructure (AWS, Google Cloud, Azure) and data infrastructure (SQL, NoSQL, inverted indexes, vector databases). Commitment to secure data practices and a keen interest in staying updated with the latest technologies and methodologies in data more »
such as Apache Spark, Apache Flink, or Apache Beam. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with data lakes, NoSQL databases, and other data management technologies. We are looking for a dedicated and passionate individual who can drive our data architecture initiatives and contribute to more »
helping them grow. Our Technology Stack Snowflake Salesforce CDP AWS AWS Lakeformation AWS Kinesis AWS Event Bridge Glue/Glue Data Brew App Flow NOSQL Databases e.g. DynamoDB SQL Databases e.g. MySQL Our Interview Process We have designed our hiring process to be efficient and to help you show your more »
frontend (React) whilst driving innovation. Key Requirements: • Extensive experience with Node.JS (taking high ownership in complex projects). • Familiarity with React. • Solid background with NoSQL and RDBMS. • Bachelors or higher in Computer Science, Mathematics, or related field. Apply now for this Senior Software Engineer role or contact Paula Kastrouni @ IC more »
candidate (Python, FastAPI, LLMs, AWS) will be a strong problem solver with experience of early businesses. Desired Skills ⚙️ Python FastAPI Large Language Models MySQL, NoSQL, PostgreSQL CircleCI, CloudBuild, CI/CD AWS If you are a skilled Engineer (Python, FastAPI, LLMs, AWS) who is interested in this role then please more »
Python, FastAPI, LLMs, AWS) will be a strong problem solver with experience of early businesses. Desired Skills ⚙️ Python FastAPI Large Language Models PostgreSQL, MySQL, NoSQL CI/CD, CircleCI, CloudBuild AWS If you are a skilled Engineer (Python, FastAPI, LLMs, AWS) who is interested in this role then please apply more »
depth knowledge of distributed systems and public cloud technologies Familiarity with various elements of our technology stack (Flask, SQLAlchemy, Pandas, REST APIs, MySQL and NoSQL Databases, RabbitMQ, Docker, Linux, AWS ECS Serverless, AWS Lambda) For a confidential discussion on this role, please contact Ciara Clarke at Harrington Starr. more »
Test Driven Development and the benefits that are realised. Experience with developing for containerisation and orchestration tools such as, Docker and Kubernetes. Experience of NoSQL databases such as MongoDB and Cassandra Familiarity with streaming platforms such as Kafka Familiarity with Actor models such as AKKA streams Familiarity with continuous integration more »
various open-source, on-prem, COTS, and cloud (AWS, Azure, GCP) tools and technologies Advanced Data Modelling skills and experience in relational, dimensional and NoSQL databases Demonstrable experience in advanced SQL/TSQL Knowledge and experience working with a variety of frameworks and platforms for data management and analytics Data more »
Spring Security, etc.) and Hibernate. Proficiency in web technologies such as HTML, CSS, JavaScript, and AJAX. Experience with relational databases (MySQL, PostgreSQL, etc.) and NoSQL databases (MongoDB, Redis, etc.). Solid understanding of software development methodologies (Agile, Scrum, etc.). Excellent leadership, communication, and interpersonal skills. Ability to work effectively more »
requirements and translate them into technical specifications. Bring experience with cloud infrastructure (AWS, Google Cloud, Azure) and familiarity with various data storage solutions (SQL, NoSQL, etc.). If you're passionate about leveraging technology to drive innovation in the world of AI and thrive in a dynamic start up environment more »
Shopify (working with liquid files), and related technologies. Experience in AWS (Lambda, S3, API Gateway), Node/NPM, and with SQL and/or NoSQL databases is also desirable. • A working knowledge of CMS implementation and server-side programming languages is required. • Solid knowledge of performance improvement and optimization best more »
Scientist, Quant Researcher, or Quant Developer • Python (3), high level of capability in writing understandable/extensible code • Experience of data storage platforms (SQL, NoSQL, Map-Reduce frameworks etc.) • Proven track record of developing trading strategies/insights for front office users • Experience presenting data visually (Plotly, D3, Tableau). more »
including understanding on (some of): o Data lakes, data marts, data warehousing (Azure Data Bricks, Azure Data Factory, Azure Synapse, HD Insight) o SQL, NoSQL and Graph databases o Processing structured and unstructured data, data models, single customer view o Enterprise Data Modelling o Data schemas and knowledge of schema more »
