Role: Data Platform Engineer (Databricks & dbt) Engagement: Contract / B2B Location: Fully Remote An experienced Data Platform professional is required to join an enterprise data initiative, focusing on the optimisation, governance, and administration of a modern Databricks environment.
Key Responsibilities Optimise and monitor Databricks SQL Warehouses to maximise query performance, scalability, and cost efficiency across enterprise workloads Administer Databricks workspaces, supporting users, projects, and operational data activities Manage role based access control (RBAC) and security permissions to ensure robust, compliant data access Build, test, document, and deploy transformation pipelines utilising dbt Leverage modern AI tooling to accelerate delivery, automate platform tasks, and improve overall workflow productivity Apply enterprise platform governance standards and operational best practices Support continuous improvement, documentation, troubleshooting, and stakeholder collaboration
Essential Requirements Proven track record within Data Platform Engineering or specialised Data Engineering roles Deep technical expertise in Databricks administration, workspace management, and SQL Warehouse optimisation Strong practical experience using dbt for scalable data transformation and testing Solid background in platform security, governance, and role based access control (RBAC) Hands on experience utilising AI assisted development and automation tools to enhance workflows Ability to work autonomously and collaborate effectively with diverse project stakeholders
Desirable Skills Data modelling experience for both operational and analytical use cases Hands on experience with Lakehouse Federation for distributed querying Familiarity with Lakeflow Connect for advanced data ingestion and integration
... and business teams What do you need to know? - Education in Computer Engineering, Telecommunications, or similar fields . - At least 2 years of experience in Data & Analytics projects Solid knowledge of: - Microsoft Fabric / Azure (Data Factory, Spark, Data Lake). - Python and SQL . - Experience in designing and optimizing ...
... customer and internal data flows. - Custom Tooling: Build internal Data Engineering tools to replace manual tasks—no SaaS "black boxes" here. Your profile - Engineering school background in Software Development. - Tech: Mastery of Python (OOP) and strong SQL (BigQuery is a plus). - The Edge: You love designing complex systems ...
... streaming and batch processing systems. - Job Responsibilities - Data Platform Engineering: Design, implement, and scale end-to-end data pipelines using Python and SQL-based transformations within a cloud-native data lake environment. - Infrastructure Orchestration: Manage and scale containerized data workloads and automated ...
... will bridge the gap between traditional data engineering and advanced generative AI implementation. Key Responsibilities - Design, build, and maintain scalable data pipelines and ingestion processes. - Implement data tokenization strategies to ensure data security and compliance. - Develop and optimize workflows using Apache ...
... nota: - Dominio y soltura con PySpark . - Comprensión de la base de Hadoop: HDFS + YARN + MapReduce. - Diseño y construcción de modelos de datos tanto small data (SQL Server) como Big Data. - Experiencia en entornos 100% Cloud , preferiblemente en AWS y/o Azure. Ahora viene lo bueno por ser bluetaber… ¿Qué ofrecemos? - ...
... oportunidad a continuación. We are looking for a Data & AI Engineer for one of our customer who has an expertise in:- Role Overview We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion ...
... alto nivel de interés. We are looking for a Data & AI Engineer for one of our customer who has an expertise in:- Role Overview We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion ...
... has just arised within Airbus Defence & Space in Data Integration transversal department. As a Data Integration specialist you will take responsibility for the data integration pipelines design, implementation and deployment, between multiple data sources including Business Systems, Engineering Systems, Machines, Drones, ...
... orchestration and Databricks for processing and transforming data. Python (incl. PySpark), SQL, CI/CD, packaging, testing, and IaC (Bicep, Pulumi a plus) Your Impact as Data Platform Engineer: What are you going to do You will refine, build, test, deploy and automate the core functional data components as part of the NNDAP/Datalab ...
... number of international customers, we are looking for our Data Engineer - Developer. Mission ABOUT THE JOB The data engineer is a key role in any of the different data squads in charge of development and maintenance of new big data data platforms and data products. His/her main mission is to develop the different data pipelines ...
... from Ubique Systems!!! We are looking for a Data & AI Engineer for one of our customer who has an expertise in:- Role Overview We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion ...
... practices across data engineering, architecture and platform evolution. - Data as a Service (DaaS) Architectures - Structured & Unstructured Data Platforms - Data Governance, Lineage & Security Frameworks - Cloud Data Engineering Technologies (AWS preferred) - Strong senior-level experience in large-scale Data Engineering ...
About the role As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data team is responsible for improving the overall architecture of Alpaca connected to data ...
... equipos de negocio, BI y Data Science. Requisitos: Sólida experiencia como Data Engineer . Experiencia con Databricks (imprescindible). Dominio de Delta Lake , Databricks Workflows y Unity Catalog . Experiencia diseñando arquitecturas Medallion. Excelente nivel de PySpark y SQL avanzado . Experiencia en modelado dimensional ...
... new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication ...
... within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should ...
... quality with whatever fits the problem: prompting, retrieval, distillation, or fine-tuning, chosen on evidence rather than habit; - Work across the full AI stack: data prep, model adaptation, serving, monitoring, and the feedback loops that keep systems improving in production; - Partner with Product, Clinical, and Engineering: ...
LxT AI is looking for Singlish (Singapore English) speakers for remote transcription and data collection projects. Ideal candidates will have fluency in the language, experience in transcription, and attention to detail. Responsibilities include listening and transcribing audio files and data classification according to ...
... help ensure ESG data accuracy to support reliable sustainability impact measurements and global decision making. Join a dynamic, diverse team and contribute to data acquisition, project work, and methodological development while enjoying remote/hybrid work options and growth opportunities within a fast‑growing company.
... and state-of-the-art technologies to deliver product excellence and customer success. The role leads a team of 6-8 data analysts with a strong focus on website data extraction. The team configures crawlers using our toolchain to extract data from websites. The data is handed over to our data platform for processing using ...