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- Tasks: Lead data migration projects and develop cloud-based data solutions using modern tools.
- Company: Dynamic energy and utilities company focused on innovation and sustainability.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Inclusive workplace that values diverse backgrounds and encourages all to apply.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology.
- Qualifications: Experience in data migration, strong SQL skills, and a passion for data quality.
6‑month contract initially, paid £500‑£550 per day via Umbrella. Hybrid role; 2‑3 days per week onsite in Warwick.
Key Responsibilities
- Data Migration & Engineering: Review and assure the existing designed and built data migration solutions to ensure they are scalable, secure, performant, and aligned with enterprise standards. Lead the end‑to‑end data migration lifecycle: discovery, profiling, mapping, transformation, validation, reconciliation, and cutover. Design and develop ETL/ELT pipelines using Azure Data Factory and other modern cloud‑native tools. Develop and optimize complex SQL transformations for data ingestion, validation, and reconciliation. Ensure data accuracy, completeness, and consistency across all migration stages and environments.
- Cloud Data Platform Development: Build, optimize, and maintain data solutions on Snowflake and the Microsoft Azure platform. Implement data ingestion pipelines for batch and near real‑time processing using Azure‑native services. Design dimensional, canonical, and analytical data models aligned with business and regulatory requirements. Optimize performance, cost, and scalability of cloud‑based data solutions.
- DataOps & Automation: Implement DataOps practices including CI/CD pipelines, automated testing, deployment validation, and monitoring. Use tools such as Azure DevOps, Git, and CI/CD frameworks to automate data pipeline deployments. Establish observability, logging, alerting, and proactive monitoring mechanisms for ETL and data pipelines. Promote repeatable, version‑controlled, and auditable delivery processes across data migration programmes.
- Domain Expertise (Energy & Utilities): Work with datasets related to asset and network management, telemetry and SCADA data, and CNI‑grade datasets. Apply strong understanding of Energy & Utilities data models, operational data, and regulatory constraints. Ensure adherence to industry standards, compliance, and regulatory frameworks throughout data migration initiatives.
- Data Governance & Quality: Define and enforce data quality rules, checks, and validation frameworks. Implement metadata management, data lineage, auditability, and data cataloging practices. Collaborate with data governance and security teams to ensure compliance with enterprise and regulatory data policies.
Key Skills & Experience
- Strong analytical, problem‑solving, and troubleshooting skills
- Excellent communication and stakeholder management abilities
- Proven ability to lead complex, large‑scale data migration initiatives
- Strong SQL and data analysis capability
- High attention to detail with a strong commitment to data quality and governance
- Agile and collaborative team member with experience operating in iterative delivery models
We welcome applications from all individuals, regardless of background or identity, and encourage candidates who may not meet every listed requirement to still apply.
Senior Data Engineer (Data Migration Specialist) in England employer: LA International
Contact Detail:
LA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Data Migration Specialist) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and scenarios related to data migration and cloud platforms to show you're ready to hit the ground running.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, highlight your experience with ETL pipelines, SQL transformations, and any relevant data migration work. This gives potential employers a tangible sense of your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (Data Migration Specialist) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your data migration expertise, especially with Azure and SQL, to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering in the Energy & Utilities sector. Share specific examples of past projects that align with our needs, and let your personality shine through!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share stories of how you've tackled complex data challenges and led successful migrations. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at LA International
✨Know Your Data Migration Inside Out
Make sure you brush up on the end-to-end data migration lifecycle. Be ready to discuss your experience with discovery, profiling, mapping, and validation. Highlight specific projects where you've led these processes, especially in the Energy & Utilities sector.
✨Show Off Your Technical Skills
Prepare to dive deep into your technical expertise, particularly with Azure Data Factory and SQL transformations. Bring examples of how you've designed and optimised ETL/ELT pipelines, and be ready to explain your approach to ensuring data accuracy and consistency.
✨Demonstrate Your DataOps Knowledge
Familiarise yourself with DataOps practices and be prepared to discuss how you've implemented CI/CD pipelines and automated testing in previous roles. Share specific instances where you've established monitoring mechanisms for data pipelines to ensure smooth operations.
✨Communicate Effectively
Since excellent communication is key, practice articulating complex technical concepts in a way that's easy to understand. Be ready to discuss how you've managed stakeholders and collaborated with teams to achieve successful data migration outcomes.