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2 senior data engineer jobs found in Remote

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Remote senior data engineer £500 - £600
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Remote  (2)
Outside Spy
Jun 15, 2026
Duration not stated
Senior SRE / Cloud Platform Engineer - (Dynatrace - Payments) - Fully Remote - Outside IR35 at Urban Connect, United Kingdom, £500 per day
£500 per day
Outside Spy Remote (United Kingdom)
AI-Native Tech consultancy require a Senior SRE / Cloud Platform Engineer with Dynatrace and Payments platform experience to start with them immediately to assist in the delivery of a digital transformation project to a Payment industry client. Contract Details: Start Date: Immediately. Day Rate: £500 per day. Base: Fully remote. Determination: Outside IR35. Duration: 3 months initially but extension highly likely. Essential technical experience required: Successful applicants must have strong proficiency with Azure, Dynatrace, Observability, Payment platforms (ideally PayPoint), CI/CD, Github, Terraform, Kubernetes, AKS cluster. Responsibilities: Implement repeatable processes for cost-efficient Dynatrace data ingestion and platform optimisation. Develop reusable Dynatrace templates and dashboards for standardised monitoring. Drive Dynatrace adoption as primary diagnostic tool, increasing observability maturity....
Outside Spy
Jun 10, 2026
up to 6 Months
Data Engineer - Azure Databricks/Python/Insurance - Outside IR35 - remote - 2-3 month contract at MYO Talent, Remote/Home based/UK, 2 to 3 Months, £400-£600 per day
£400 - £600 per day
Outside Spy Remote (United Kingdom)
Data Engineer/Data Engineering/Azure/Databricks/Ingestion/Pipelines/Insurance/Financial Services/2-3 month contract/Outside IR35/Fully remote One of our leading clients is looking to recruit a Data Engineer. Location - fully remote/home based Duration - 2-3 months plus possible extension Outside IR35 Role/Responsibilities: Define and build a data lake architecture on Azure (ADLS + Databricks) Implement layered data model (bronze/silver/gold) for ingestion, processing, and reporting Develop ingestion patterns from API sources (batch and streaming) Establish data governance, metadata, and access controls Define storage structures, naming conventions, and schema design Develop API connectors and ingestion pipelines using Python Implement integration services feeding into the Databricks environment Build data transformation logic using PySpark/Python (data cleansing, standardisation, validation) Configure monitoring, logging, and alerting Execute unit...
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