Osmii
About the Company
Osmii believes the journey starts with the people you hire.
Osmii is a firm of specialist headhunters providing worldwide resource to Agencies, Brands and Consultancies. We offer support across the Technology, Creative and Digital sectors in Europe, MEA, APAC, US and LATAM.
Osmii has two key service offerings: a Specialist Headhunting partner building permanent teams internationally and a Global Services partner delivering locally compliant temporary/project based resource.
We have a history of building long standing strategic partnerships across the technology and commercial ecosystem, supporting global tech companies and pre-IPO vendors.
If you are a Tech Start-up, an established Vendor looking to break into an emerging market or an established vendor launching a new venture, Osmii can assist you.
Contact us to find out how our 100% direct approach reduces time to hire, cost of hire and helps to build lasting candidate-client relationships.
+44 203 727 7798
hello@osmii.com
www.osmii.com/blog
Twitter: @osmii_news
Instagram: @osmii_news
Osmii are part of the HW Group.
https://www.hwglobalpartner.com/
Listed Jobs
- Company Name
- Osmii
- Job Title
- Databricks Solution Architect
- Job Description
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Databricks Solution Architect
6 months contract
London
Databricks Solutions Architect to support a variety of technical initiatives, including designing and implementing reference architectures and optimizing data solutions.
Key Responsibilities:
Design and implement end-to-end data architectures, ensuring best practices for data governance, access control, and cost efficiency using Unity Catalog and Delta Lake.
Optimize query performance, storage solutions, and compute resource allocation within Databricks.
Support clients in adopting the Databricks Lakehouse architecture for both structured and unstructured market data.
Work closely with internal teams to share knowledge and contribute to ongoing learning and development initiatives.
Required Skills & Experience:
Strong expertise in data engineering, data platforms, and analytics.
Proficiency in Python, SQL, and/or Scala.
Experience with at least one major cloud provider (Azure, AWS, or GCP) and familiarity with another.
Deep knowledge of Apache Spark and distributed computing.
Practical experience with CI/CD pipelines for production deployments.
Understanding of MLOps and its application in data workflows.
Ability to design and implement scalable data architectures.
Ability to adapt to emerging technologies and evolving project requirements.
At least one Databricks certification in Data or ML Engineering.
- Company Name
- Osmii
- Job Title
- Data Engineer
- Job Description
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Data Engineer (Databricks Specialist)
6-Months
London (Hybrid)
We are seeking an experienced Data Engineer with deep expertise in Databricks to support the design, development, and optimization of a Unified Data Platform. The ideal candidate will have a strong background in data engineering, pipeline development, and system integration, with proficiency in Databricks, PySpark, Python, and SQL.
This role requires hands-on technical leadership, guiding best practices for data architecture, performance optimization, and migration from legacy systems. You’ll collaborate with internal stakeholders and vendors to ensure solutions align with business objectives and technical strategy.
Key Responsibilities:
Databricks Expertise: Act as a Subject Matter Expert (SME), driving the adoption and optimization of Databricks across the organization.
Data Pipeline Development: Design, build, and optimize scalable, efficient data pipelines using Databricks, PySpark, and Python.
Data Architecture: Contribute to the design and development of a robust, scalable Unified Data Platform, ensuring performance and efficiency.
System Integration: Work on seamless integration of Databricks with Azure Data Services and other enterprise platforms.
Legacy Migration: Lead efforts to migrate legacy data systems into Databricks, ensuring smooth transitions and minimal disruption.
Collaboration & Governance: Work with internal teams and external vendors to establish best practices, governance frameworks, and data strategy alignment.
Essential Skills & Experience:
Expert-level knowledge of Databricks, with a proven track record of building and optimizing data solutions.
Strong experience in PySpark and Python, developing and optimizing large-scale data pipelines.
Proficiency in SQL, with expertise in querying and managing complex datasets.
Azure Data Services expertise, including Azure Data Factory, Azure Synapse Analytics, and Azure Storage.
Experience in data architecture and performance optimization for cloud-based data platforms.
Ability to bridge the gap between business needs and technical solutions, ensuring scalability, reliability, and efficiency.