ontologies

Senior Data Engineer - Hybrid - KSA - (10-12 Months) - RTG

posted by: spj_bot

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

Job Skills

optimize data key management data data engineer GCP data optimized communication data pipeline governance hosted circuit breaker AEs data system mongodb role base access control senior engineer data ingestion python integrating data processing software engineering operations engineering systems scala ontology cloud platform management system verbal communication skill e data architecture enterprise environments apache airflow ontologies scalable mysql localized pair programming cybersecurity enterprise network security knowledge graph sql IAM data quality technical design TLS referential integrity operational structured data problem solve cryptographic key conversion rates RBAC manage stakeholder active directory eye technology services automated data science simulations strategy product manage expectations transformation programming languages datum layer track leadership unstructured datum ul access control integration access management data modeling apache spark data infrastructure nosql experience designing natural language processing workflows machine learn hive cassandra ETL tracking semantic reasoning cloud infrastructure network security postgresql customer experience building model system design operate data management big datum distributed systems computer science teams manage analytical skill data engineering long term tools e analytics digital transformation kms system monitoring scalability collaborative processing engines encryption scale java data pipelines relational database
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Data Owner Support

posted by: spj_bot

Position Overview

Excelya is seeking a dedicated Data Owner Support professional to join our growing Data Management team. In this role, you will collaborate closely with Data Owners to ensure data quality, governance, and compliance while supporting the execution of data-related strategies within clinical research and drug development projects.

As part of an innovative and dynamic company, you will contribute to enhancing data processes and help shape the future of data management in the pharmaceutical and life sciences sector.

Key Responsibilities

Job Skills

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Senior Software Engineer, Data - (Remote - UK)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer, Data in the United Kingdom.

This role offers an exciting opportunity for an experienced data engineer to help shape the future of scientific discovery by building and evolving a cutting-edge Knowledge Graph and data infrastructure. You’ll be part of a collaborative team focused on scaling data pipelines, integrating complex public life science datasets, and enabling downstream applications through advanced data modeling and transformation. Working closely with experts across engineering, machine learning, and science, you'll develop scalable, production-grade solutions while influencing product direction through a technical and data-first perspective. This is a high-impact position where your work directly contributes to meaningful advancements in biomedical research.

Accountabilities:

Job Skills

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Gen AI Data Engineer

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

Job Skills

adaptability monitor system cloud platforms operating system GCP persistence communication buckets image data pipeline dashboards data system bigquery cloud technology python integrating higher level best practices communication skills docker pyspark system performance linux real time graphs iterate lambda aws e apache airflow disaster recovery ontologies scalable knowledge graph sql data formats information retrieval airflow problem solve career development kubernetes opensearch data science devops transformation programming languages track indexing leadership graph algorithm reliability automation managing development tools integration adapt managing data audio video data infrastructure nosql elasticsearch business continuity planning aws batch search technology business continuity collaboration workflows machine learn data warehouses neo4j data warehousing presentation data management version control github big datum GKE data visualization analytical data engineering positive algorithms curating analytics collecting data sagemaker cloudformation market research infrastructure as code graph database consulting unstructured data scalability data sources experimentation collaborative infrastructure snowflake containerization scale continuous integration datum curation data pipelines relational database
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