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- Tasks: Build and maintain data pipelines for identity and access management in a hybrid environment.
- Company: Join a dynamic team focused on innovative data solutions in a complex enterprise setting.
- Benefits: Competitive contract rate, flexible hybrid work, and the chance to work on impactful projects.
- Why this job: Tackle real-world challenges at the intersection of data engineering and security.
- Qualifications: Strong Azure Data Engineering experience and familiarity with IAM/security datasets required.
- Other info: Collaborative agile environment with opportunities for professional growth.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for a hands-on Data Engineer to support a major Identity & Access Management data programme within a complex enterprise environment. This is not a generic data engineering role. You will be working on data pipelines, models and automation tied to identity, access, privileged accounts, controls, metrics and reporting. The right person will be comfortable sitting between data engineering and security / IAM teams.
What you’ll be doing:
- Build and maintain ETL / ELT pipelines using Azure Data Factory, Databricks and SQL Server
- Develop and support data models, reporting layers and curated datasets for IAM / access related use cases
- Work with data linked to users, roles, entitlements, access controls, privileged accounts and audit requirements
- Automate ingestion, transformation and validation of data from enterprise systems
- Support governance, lineage, quality controls and operational monitoring
- Work closely with IAM, security, infrastructure and data stakeholders in an agile environment
What we need:
- Strong experience as a Data Engineer in Azure environments
- Strong hands-on experience with: Azure Data Factory, Databricks / PySpark, SQL Server / T-SQL
- Experience building production-grade data pipelines and data models
- Exposure to identity / access / security data
- Understanding of areas such as: Active Directory / Entra ID, RBAC, access control, privileged access, audit / compliance / governance
- Experience in banking, financial services, insurance or another regulated environment
- Strong communication skills and ability to work across technical and non-technical teams
Nice to have:
- Experience with IAM / PAM tooling such as CyberArk, SailPoint, BeyondTrust or similar
- Exposure to data governance tooling, lineage, metadata or control frameworks
- Experience supporting production issues / operational processes
Why apply:
This is a strong opportunity to work on a genuinely interesting programme where data engineering meets identity and security. You’ll be solving real delivery problems, not just building generic pipelines. If you’ve worked on Azure data platforms and have touched IAM / access / security-related datasets, this will be a strong fit. If this job is suited to your requirements please apply if you wish to be considered.
Data Engineer - Inside IR35 - Hybrid in City of London employer: Halian Technology Limited
Contact Detail:
Halian Technology Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Inside IR35 - Hybrid in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in IAM or data engineering. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory or Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of IAM and security data. Be ready to discuss how you've tackled challenges in previous roles, especially around data pipelines and automation. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Data Engineer role!
We think you need these skills to ace Data Engineer - Inside IR35 - Hybrid in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Databricks, and SQL Server. We want to see how your skills align with the specific requirements of the Data Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background in IAM and security data makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since this role involves working across technical and non-technical teams, make sure to highlight your communication skills in your application. We love candidates who can bridge the gap between different stakeholders!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Halian Technology Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Databricks, and SQL Server. Brush up on your ETL/ELT pipeline skills and be ready to discuss how you've used these tools in past projects. The more specific examples you can provide, the better!
✨Understand IAM and Security Concepts
Since this role is heavily tied to Identity & Access Management, take some time to familiarise yourself with key concepts like RBAC, privileged access, and audit compliance. Being able to speak knowledgeably about these topics will show that you’re not just a data engineer, but one who understands the security landscape.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data governance and operational monitoring. Think through scenarios where you had to automate data ingestion or validate data quality, and be ready to explain your thought process and the outcomes.
✨Show Your Communication Skills
This role requires collaboration with both technical and non-technical teams. Be prepared to demonstrate how you’ve effectively communicated complex data concepts to different stakeholders in the past. Highlight any experiences where you bridged the gap between data engineering and security teams.