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TESTQ Technologies

Data Engineer

London
Posted about 14 hours ago
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Role Overview:

We are looking for an experienced Senior Data Engineer DataOps Engineer to build, automate, and support enterprise data platforms across Azure SQL Server and Snowflake ecosystems. The role focuses on data onboarding, migration, automation, platform engineering, and operational excellence, helping drive self-service capabilities and scalable data solutions.

Key Responsibilities:

  • Design and develop data ingestion, transformation, and migration solutions using Azure Data Factory (ADF)
  • Build reusable frameworks for data onboarding, schema deployment, validation, and automated data movement
  • Develop and maintain ETL/ELT pipelines across SQL Server, Azure Data Lake Storage (ADLS), and Snowflake
  • Administer SQL Server environments hosted on Azure VMs, including security, backup/recovery, performance tuning, and access management
  • Automate operational processes using SQL/Python/PowerShell
  • Support database migrations, upgrades, and platform modernization initiatives
  • Implement data quality, governance, audit logging, and security best practices
  • Enable self-service onboarding capabilities and improve DataOps efficiency through automation and standardization
  • Collaborate with business and technology teams to deliver scalable and reliable data solutions

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.

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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.

Essential Skills:

  • Strong experience with Azure Data Factory (ADF)
  • Advanced SQL Server development and administration skills
  • Hands-on experience managing SQL Server on Azure Virtual Machines
  • Expertise in database migration, performance tuning, backup/recovery, and security
  • Experience with Azure Data Lake Storage (ADLS), Azure Storage, and Azure SQL
  • Strong SQL, Python, and/or PowerShell scripting skills
  • Experience working with structured and semi-structured data formats (CSV, JSON, XML, Parquet, MDF, BAK)
  • Strong troubleshooting, automation, and problem-solving capabilities

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Desirable Skills:

  • Snowflake data engineering or administration experience
  • Azure DevOps, CICD, and Terraform
  • Microsoft Purview exposure
  • Azure and/or Snowflake certifications

Skills:

  • Mandatory Skills: Azure Data Factory, AZURE DATA LAKE, Azure SQL, ETL Concepts, Snowflake
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Skills

Azure Data Factory
SQL Server
Snowflake
Azure Data Lake Storage
Python
PowerShell
ETL
ELT
DataOps
Database Migration
Performance Tuning
Data Governance
SQL
Azure SQL
Infrastructure as Code
Data Ingestion

Location

London, England, United Kingdom

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