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- Tasks: Design and maintain data systems, build pipelines, and ensure data quality.
- Company: Join Norton Rose Fulbright, a global law firm focused on innovation and collaboration.
- Benefits: Enjoy hybrid work options, a supportive environment, and a commitment to diversity.
- Why this job: Be part of a dynamic team that drives data-driven decision-making and automation.
- Qualifications: Bachelor's degree, 6+ years in data management, and expertise in modern data technologies required.
- Other info: This role promotes flexible work arrangements and values diverse perspectives.
The predicted salary is between 43200 - 72000 £ per year.
The Senior Data Engineer will be responsible for designing, developing, and maintaining data infrastructure and systems for storage, processing, and analysis. They will build and manage data pipelines that enable efficient data integration, transformation, and delivery across the enterprise.
- Design and develop data pipelines to extract data from various sources, transform it, and load into storage systems.
- Collaborate with data scientists and analysts to optimize models and ensure data quality, security, and governance.
- Integrate data from databases, warehouses, APIs, and external systems.
- Ensure data integrity through validation and cleaning during integration.
- Transform raw data into usable formats via cleansing, aggregation, filtering, and enrichment.
- Optimize pipelines for performance, scalability, and efficiency.
- Monitor and tune data systems, resolve performance issues, and implement caching and indexing strategies.
- Implement data quality checks within pipelines to ensure accuracy and completeness.
- Take responsibility for leveraging enterprise data assets and supporting analytics for decision-making and automation.
- Work with leadership to establish data management vision and governance policies.
Qualifications include a bachelor\’s degree in a relevant field, at least six years of experience in data management disciplines, proven project experience with data warehouses like Snowflake, and expertise in technologies such as Apache Kafka, Airflow, Spark, and cloud platforms (AWS, Azure, GCP). Strong programming skills in Java, Python, C/C++, and familiarity with SQL, R, SAS, or Excel are required. Candidates should have experience with modern data architectures and databases, excellent problem-solving skills, and the ability to collaborate across teams and communicate effectively with stakeholders.
This is a hybrid role with a focus on diversity, equity, and inclusion, supporting flexible work arrangements and a supportive environment. Norton Rose Fulbright is a global law firm committed to innovation and collaboration.
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Senior Data Engineer - Central Services employer: Norton Rose Fulbright
Contact Detail:
Norton Rose Fulbright Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Central Services
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Kafka, Airflow, and Snowflake. Having hands-on experience or projects showcasing these tools can significantly boost your chances during interviews.
✨Tip Number 2
Network with current employees or professionals in similar roles through platforms like LinkedIn. Engaging in conversations about their experiences at StudySmarter can provide you with valuable insights and potentially a referral.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving data pipelines and integration. Be ready to explain your problem-solving approach and how you ensured data quality and governance in those projects.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. Highlighting your ability to communicate effectively with stakeholders will demonstrate that you're a good fit for our team-oriented environment.
We think you need these skills to ace Senior Data Engineer - Central Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, particularly with technologies like Snowflake, Apache Kafka, and cloud platforms. Use specific examples to demonstrate your expertise in building and optimising data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities outlined in the job description. Mention your experience with data quality checks and collaboration with data scientists to showcase your teamwork abilities.
Showcase Technical Skills: Clearly list your programming skills in Java, Python, and C/C++. If you have experience with SQL, R, SAS, or Excel, make sure to include that as well. Highlight any projects where you've successfully implemented data governance policies or optimised data systems.
Demonstrate Problem-Solving Abilities: Provide examples of how you've resolved performance issues in data systems or improved data integration processes. This will show your potential employer that you can handle challenges effectively and contribute to their data management vision.
How to prepare for a job interview at Norton Rose Fulbright
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management tools and technologies like Snowflake, Apache Kafka, and Airflow. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in data engineering and how you resolved them. This will show your analytical thinking and ability to handle complex situations.
✨Emphasise Collaboration and Communication
Since the role involves working with data scientists and analysts, be ready to discuss how you've collaborated with cross-functional teams in the past. Effective communication is key, so share examples of how you've conveyed technical information to non-technical stakeholders.
✨Understand Data Governance and Quality
Familiarise yourself with data governance policies and quality checks. Be prepared to discuss how you've ensured data integrity and accuracy in previous roles, as this aligns with the company's focus on data quality and security.
