5 of 5 Lakehouse Jobs in East London

Data Modeller

Location
Royal Borough of Greenwich, England, United Kingdom
relational databases. Experience with data warehousing concepts and platforms. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Knowledge of data Lakehouse architectures and modern data stack tools. Understanding of data privacy regulations (e.g., GDPR, HIPAA). Strong knowledge of data modeling tools (e.g., ER/Studio ...

Enterprise Data Architect

Hiring Organisation
Celon Group Limited
Location
South East London, London, United Kingdom
Employment Type
Permanent
Salary
£60,000
Role Purpose Celon is seeking an experienced and forward-thinking Enterprise Data Architect to help our clients shape and deliver their Data Strategies, strengthen their data and analytics capabilities, and achieve their ambitions to become ...

Senior Software Engineer II

Hiring Organisation
Stepstone UK
Location
South East London, London, United Kingdom
Employment Type
Permanent
Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with ...

Junior IT Data & Platform Engineer

Hiring Organisation
Frontpoint Partners Ltd
Location
Tower Hamlets, Greater London, Canary Wharf, United Kingdom
Employment Type
Permanent
Salary
£35000 - £40000/annum
Our client is looking for a talented Junior Data & Platform Engineer to join their IT Data & Platform team, where you'll play a key role in designing, developing and maintaining cutting-edge data solutions within ...

Principal Data Consultant - AWS / Databricks

Hiring Organisation
Scale Factory
Location
South East London, London, United Kingdom
Employment Type
Permanent, Work From Home
risk are contested Architecture ownership Set and own the target data architecture: ingestion, storage, transformation, serving, governance Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down Define non-functional requirements, cost models and FinOps guardrails alongside … other client-facing setting comfortable being accountable to a paying client, not only an internal stakeholder Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations ...