Data Engineer / Analyst (SI client/govt project) in London

Data Engineer / Analyst (SI client/govt project) in London

London Full-Time 45000 - 55000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Support data management operations and ensure data accuracy in a high-stakes environment.
  • Company: Join a leading client-focused firm working on impactful government projects.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and compliance.
  • Why this job: Make a difference by ensuring data quality and supporting critical decision-making processes.
  • Qualifications: Degree in IT or related field with 3-8 years of experience in data analysis.

The predicted salary is between 45000 - 55000 € per year.

Our client is looking for a Data Engineer / Data Analyst to support data management operations within the Enterprise Data Warehouse and Total Portfolio Data Mart. This role focuses on ensuring data accuracy, quality, and smooth data operations in a structured, high-stakes environment.

Job Responsibilities

  • Support data management operations for enterprise data platforms
  • Perform data reconciliation and data quality checks, including monitoring and troubleshooting
  • Investigate and resolve data issues and discrepancies
  • Work closely with stakeholders to manage data-related queries and SLA requirements
  • Perform User Acceptance Testing (UAT) to ensure data accuracy and system reliability
  • Develop and maintain technical and functional documentation
  • Collaborate with cross-functional teams to support data pipelines and reporting needs
  • Ensure compliance with data governance and operational standards

Job Requirements

  • Degree in Computer Science, Information Technology, or related field
  • 3–8 years of relevant experience
  • Experience in data analysis and data operations
  • Strong experience in data reconciliation and data quality checks
  • Proficient in Oracle PL/SQL (must-have)
  • Experience in UAT and data validation
  • Able to manage end-user queries and SLA-driven environments
  • Good problem-solving and analytical skills
  • Strong communication and stakeholder management skills

Good to Have

  • Experience in financial or investment data domain
  • Experience with Tableau and Snowflake

Data Engineer / Analyst (SI client/govt project) in London employer: Dada Consultants

Our company is an exceptional employer, offering a dynamic work culture that prioritises collaboration and innovation in the heart of the city. With a strong commitment to employee growth, we provide ample opportunities for professional development and training, ensuring our team members thrive in their careers. Additionally, our focus on data integrity and quality within high-stakes projects makes this role not only meaningful but also rewarding, as you contribute to impactful government initiatives.

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Contact Detail:

Dada Consultants Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer / Analyst (SI client/govt project) in London

Tip Number 1

Network like a pro! Reach out to your connections in the data field, especially those who work with enterprise data platforms. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially any work with Oracle PL/SQL or data quality checks. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common data-related questions. Be ready to discuss your experience with UAT and how you've tackled data discrepancies in the past. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace Data Engineer / Analyst (SI client/govt project) in London

Data Management Operations
Data Reconciliation
Data Quality Checks
Troubleshooting
User Acceptance Testing (UAT)
Technical Documentation
Cross-Functional Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data management and analysis. We want to see how your skills align with the job description, so don’t be shy about showcasing your Oracle PL/SQL expertise and any relevant projects you've worked on.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your experience with data reconciliation and quality checks, and how you’ve tackled similar challenges in the past.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've resolved data issues or discrepancies in previous roles. We love seeing candidates who can think critically and come up with effective solutions!

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 the role. Plus, it makes the whole process smoother for everyone involved!

How to prepare for a job interview at Dada Consultants

Know Your Data Inside Out

Make sure you brush up on your data management skills, especially in Oracle PL/SQL. Be ready to discuss how you've handled data reconciliation and quality checks in past roles. Having specific examples will show that you can hit the ground running.

Prepare for Technical Questions

Expect some technical questions related to data operations and UAT. Practise explaining your approach to troubleshooting data issues and ensuring data accuracy. This will demonstrate your problem-solving skills and analytical mindset.

Showcase Your Communication Skills

Since this role involves working closely with stakeholders, be prepared to discuss how you've managed end-user queries in the past. Highlight any experiences where you successfully collaborated with cross-functional teams to meet data-related needs.

Familiarise Yourself with Compliance Standards

Understand the importance of data governance and operational standards. Be ready to talk about how you've ensured compliance in previous roles, as this will show your commitment to maintaining high-quality data operations.