14 of 14 OLAP Jobs

solutions using tools like Informatica, Talend, SSIS, Data Factory, or similar. Proficiency in cloud ecosystems (Azure, AWS, or GCP) and cloud-native BI services. Strong understanding of data warehousing, OLAP, semantic models, and query optimization. Experience working with modern data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Synapse. Soft Skills Excellent communication and collaboration skills. Ability to lead technical More ❯

MWAA, Step Functions, or Glue Workflows. Experience integrating or supporting ML pipelines using PyTorch. Proficiency in Python, SQL, and scalable data-processing frameworks. Strong understanding of data modeling (OLTP, OLAP, lakehouse) and architectural patterns. Experience with CI/CD pipelines and DevOps on AWS.Preferred Qualifications AWS certifications (e.g., AWS Certified Data Analytics Specialty, Solutions Architect Experience with EMR, Redshift, Kinesis More ❯

EMR, Redshift, Lambda, Kinesis Azure: Data Factory, Synapse, Databricks, ADLS GCP: BigQuery, Dataflow, Pub/Sub Experience with Data Warehouse/Data Lake/Lakehouse design and modeling (Kimball, OLAP, OLTP, Star/Snowflake schemas Proficiency in CI/CD, Git, Docker, Kubernetes, Airflow or similar orchestration tools. Knowledge of data governance, security, metadata management, and data quality frameworks. Nice More ❯

abilities, and confidence communicating technical information to non-technical audiences. Experience in SSRS, SSIS, Visual Studio, or similar BI tools is essential, and familiarity with data warehousing, C#, or OLAP methodologies would be an advantage. Above all, you'll be analytical, detail-focused, and passionate about improving systems and insights that make a real impact. We are an equal opportunities More ❯

subscriptions, and access content to understand data meaning and lineage. You will design and maintain enterprise data models for contact center-oriented data lakes, warehouses, and analytic models (relational, OLAP/dimensional, columnar, etc.). You will collaborate with source system owners to define integration rules and data acquisition options (streaming, replication, batch, etc.). You will work with data More ❯

geographically dispersed teams Qualifications: Minimum 3+ years of combined experience in data warehousing/business intelligence/analytics and reporting systems. Minimum 3+ years of relational and multi-dimensional (OLAP) data modeling. Proficiency in the use of SQL, including relational and dimensional database structures, query optimization, specifically with SQL Server and Snowflake Experience with the following technologies will be required More ❯

collaborate effectively and work as part of a team Extensive background in writing complex queries Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking Good Communication skills Self-Motivated Works well in a team environment Denodo Experience a plus Master Data Management a plus Big Data Experience a More ❯

Months Must have Skill Set Minimum of 8 years and maximum of 12 years of working experience in total Strong PL/SQL Development Skills Experience in OLAP/OLTP system Proficient in database development utilizing partitions, dbms jobs, packages, procedures, function and Oracle user defined types Proficient in working with UI teams/applications and using cursors, XML, JSON More ❯

Senior Data Engineer (OLAP/Semantic Modelling) | 6 Month Contract | £550-600 p/day | Outside IR35 We're seeking a highly specialised Data Engineer with deep expertise in OLAP, Tabular, and Multidimensional modelling to join a technology-driven organisation on a long-term contract. If you have strong SSAS, semantic modelling, and Excel cube integration experience - this role is … you'll architect and optimise analytical models, build high-performance data pipelines, and design robust semantic layers that directly power business-critical reporting and Excel-based analysis. Required Skills: OLAP, Tabular, Semantoc Layer Expertise: Advanced SSAS Tabular & Multidimensional modelling (MUST have) Proven experience designing semantic layers , calculated measures, perspectives, hierarchies, partitions, aggregation strategies Strong Power BI semantic model understanding (datasets … relationships, optimisation) Ability to dynamically load data into Excel using OLAP cubes - essential Expert in DAX/MDX , cube optimisation, processing strategies Data Engineering & SQL: Strong expertise with MSSQL Server (schema design, tuning, indexing, profiling) Advanced SQL and dimensional data modelling (SCDs, fact/dim, conformed dimensions) Experience with PostgreSQL optimisation. Advanced Python skills ETL/ELT Pipelines: Hands-on More ❯

our cross team developer platform to enable fast prototyping and security best practices. Relational Databases (PostgreSQL) at the heart of majority of services but we also use elastic search, OLAP data warehouses and data lakes to power our various data heavy workloads We're AWS for Cloud hosted services Heavy use of AWS lambda Serverless Docker (AWS ECS) for uniform More ❯

background in AWS and cloud-native data/compute services. Machine Learning Operations: Hands-on experience with distributed training pipelines, model serving, and monitoring. Deep familiarity with SQL (OLTP & OLAP), feature engineering, and caching patterns. Preferred Qualifications 5 to 8 years of backend or ML infrastructure experience. Proven track record building production ML workflows at scale. Experience in industry logistics More ❯

a self-starter with a proactive, research-oriented mindset. Key Requirements - Mandatory Skills This role demands proven, hands-on experience in the following areas: Foundational Modeling: Absolute mastery of OLAP/OLTP Modeling and extensive experience in Dimensional Data Modeling (Star/Snowflake schemas). Architecture Design: Expert in Data Architecture and designing modern Data Lakehouse Architecture . Cloud Platform More ❯

with various Linux Operating Systems distributions Experience with GitLab Knowledge of Helm Desirable Skills: Familiarity with any of the following technologies would be advantageous: Ansible Prometheus/Grafana Clickhouse (OLAP database) GitLab/Tekton Pipeline development Experience in integration and debugging Understanding of complex system architectures Technologically curious with the ability to upskill in new technologies Other Information: Location: Gloucester More ❯

Job Description The Senior Database Administrator (DBA) will work within a pool of other Senior DBAs to support approximately 20 online transaction processing (OLTP) applications, online analytical processing (OLAP) applications, and decision support systems (DSS). The database environment consists of databases that range in size from several hundred gigabytes (GB) to several terabytesized databases. The database management systems are More ❯