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TESTQ Technologies

Senior Data Engineer

Sheffield
Posted about 11 hours ago
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Experience 7 to 11

Responsibilities

  • Design, build, and maintain large-scale data pipelines and ETL workflows across enterprise datasets
  • Ingest, provision, and manage raw, enriched, and curated data assets for analytics platforms
  • Improve reliability, scalability, and real-time data ingestion capabilities
  • Support and enhance cloud-based data ingestion infrastructure and platform services
  • Acquire, transport, clean, transform, and integrate data from internal and external sources
  • Perform exploratory data analysis and onboard new data sources
  • Develop automated data engineering workflows and optimize data processing pipelines
  • Manage data modelling, data warehousing, data integration, and data cataloguing activities
  • Support real-time analytics and streaming data platforms
  • Contribute to cloud infrastructure engineering, platform operations, and production support
  • Implement cloud cost optimization and platform efficiency improvements
  • Collaborate with engineering, analytics, infrastructure, and cybersecurity teams
  • Support DevOps, automation, monitoring, and operational excellence initiatives
  • Maintain documentation, governance standards, and operational procedures

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

To be successful in this role you should have

  • Experience with SRE principles and Azure DevOps
  • Strong scripting skills using Bash, PowerShell, and Azure CLI
  • Programming experience with Python, C, Java, and object-oriented development
  • Strong SQL and Kusto Query Language (KQL) experience
  • Experience with GitHub, source control systems, and CI/CD pipelines
  • Strong Linux administration and scripting experience
  • Knowledge of networking, operating systems, storage technologies, and infrastructure fundamentals
  • Experience in Data Acquisition and Cloud-Based Data Pipelines
  • Experience with Data Transport, Data Cleaning, and Data Integration
  • Strong Data Engineering pipeline automation, productionization, and optimization skills
  • Experience designing and maintaining ETL workflows and large-scale data pipelines
  • Knowledge of Data Warehousing, Data Modeling, and Data Cataloguing
  • Experience with Real-Time Analytics and Streaming Data Platforms
  • Cloud Cost Optimization experience
  • Strong Azure platform knowledge including Azure AD, Azure IAM, Networking, Compute, Storage, Databases, and Containers
  • Experience with Azure Data Factory, Azure Databricks, Unity Catalog, Azure Functions, Azure Logic Apps, Azure Monitor, Azure Log Analytics, Azure Data Lake, Synapse Analytics, and Power BI
  • Experience with Kubernetes and Cloud-Native platforms
  • Knowledge of Nginx, Apache, CosmosDB, Linux, Prometheus, Grafana, and Elasticsearch
  • Experience with Infrastructure as Code tools such as Terraform, ARM, Chef, and Ansible
  • Experience with Azure Event Hubs, Kafka, and Spark Streaming
  • Exposure to SIEM and SOAR platforms is advantageous
  • Experience working in highly regulated enterprise environments is preferred

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Skills

  • Mandatory Skills: Azure, Data Engineering, Data Acquisition, Azure Data Factory, Azure Databricks, ETL, Data Pipelines, Python, SQL, Azure DevOps
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Skills

Azure
Data Engineering
Data Acquisition
Azure Data Factory
Azure Databricks
ETL
Data Pipelines
Python
SQL
Azure DevOps
Kusto Query Language
Terraform
Kubernetes
Spark Streaming
CI/CD
Linux Administration

Location

Sheffield, England, United Kingdom

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