15 of 15 OLTP Jobs in London

vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive More ❯

vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive More ❯

JBoss, Datapower). Relational Database Design (DB2/400, MS SQL Server). Document, Imaging, and Web Content Management (FileNet). Business Intelligence, Data Warehouse, and ETL. Transaction Design (OLTP, Batch). Component Based Design. Application Integration. Performance Engineering. Demonstrates analytical and diagnostic skills dealing with issues that are often novel and not readily defined, lack known precedent or appear More ❯

data modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA. Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLTP and OLAP databases. Minimum 5 years experience with reporting tools: Power BI, Business Objects, Tableau or OBI. Understanding of Master Data Management technology landscape, processes and design principles. Minimum More ❯

scalable and efficient data models, databases, and processing systems Create and test the additional Reports/Extracts required for Customers Support the Data team with process implementation, E2E testing, OLTP/OLAP reconciliation activities, keeping documentation up to date, fixing any issues with data based on feedback from SMEs To build robust, fault-tolerant data pipelines for ingesting, processing and More ❯

frameworks (e.g., Apache Spark, Flink, Kafka Streams, Beam), including orchestration via Airflow, Prefect or Dagster. Data Modeling & Schema Management: Demonstrated expertise in designing, evolving, and documenting schemas (OLAP/OLTP, dimensional, star/snowflake, CDC), data contracts, and data cataloguing. API & Integration Fluency: Building data ingestion from REST/gRPC APIs, file drops, message queues (SQS, Kafka), and 3rd party More ❯

testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like More ❯

the right things get delivered in the right way. What you'll bring to the team: We're looking for somebody with solid experience of building and running bespoke OLTP systems with a focus on high concurrency and reliability. You'll be familiar with a range of SQL and NoSQL databases such as Postgres, CockroachDB, MongoDB or DocumentDB, and know More ❯

docker Excellent practical understanding of SOLID principles and design patterns Hands-on experience with one or more DevOps tooling platforms Hands on experience engineering on high availability, high throughput OLTP platforms Good understanding of fundamental design principles behind scalable applications Good understanding of relational databases and MySQL and writing efficient database queries Hands-on experience with a range of different More ❯

knowledge is an advantage OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

knowledge is an advantage OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

Experience with Python with libraries such as Pandas In-depth knowledge of various database system technologies (relational, document, columnar, etc.) Understanding and experience with relational databases and implementation of OLTP and OLAP systems Professional experience in data modeling and database optimisation Nice to have: Experience in implementing version control for data artifacts Expertise in data migration strategies Familiarity with machine More ❯

business functions. Essential Skills & Experience: Proven ability to reverse engineer data models from legacy systems. Strong experience in data modelling (dimensional, relational, data vault, etc.). Deep understanding of OLTP systems and transactional data environments. Experience with system/data integration, data lineage, and flow mapping. Comfortable translating complex technical detail into plain English. Strong stakeholder engagement skills, particularly with More ❯

differing levels Analysing and profiling large and complex datasets Managing a team backlog using tools like Jira or Azure DevOps Agile ways of working Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Knowledge of python More ❯

workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. As a Product Specialist - Lakebase you will be a deep technical expert in OLTP systems and in how customers can be successful with developing analytical and transactional use-cases with OLTP databases within the Lakehouse paradigm. You will work closely with both Product Management … key messaging and approaches to ensure the EMEA technical field is prepared for competitive conversations What we look for: Experience in designing and delivering cloud-based Data, AI and OLTP Solutions in a client or customer environment Ability to advise customers in Lakebase architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before … multi-cloud analytics ecosystem with Databricks at the centre and provide solutions for customers looking for disaster recovery, fault tolerance and backup Certification and/or demonstrated competence in OLTP systems along with one of Azure, AWS or GCP cloud providers Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL Excellent communication skills More ❯