At a Glance
- Tasks: Manage cloud data infrastructure and build complex data pipelines for impactful insights.
- Company: Join a world-leading global law firm with a commitment to excellence and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technologies.
- Qualifications: 5+ years in Data Engineering, strong SQL skills, and experience with big data technologies.
The predicted salary is between 70000 - 90000 £ per year.
Herbert Smith Freehills Kramer is a world-leading global law firm, where our ambition is to help you achieve your goals. Exceptional client service and the pursuit of excellence are at our core. We invest in and care about our client relationships, which is why so many are longstanding. We enjoy breaking new ground, as we have for over 170 years. As a fully integrated transatlantic and transpacific firm, we are where you need us to be. Our footprint is extensive and committed across the world’s largest markets, key financial centres and major growth hubs.
The Opportunity
- Manage the capture, storage and dissemination of the cloud infrastructure used by business in the data hub and other data management systems.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Implement data processes that deliver easy access to data domains for those who are enabled.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies (ETL & ELT).
- Design and build data models to enable analysts and data consumers to easily and quickly access needed data.
- Build analytics technologies that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Proficiency in administering Azure databases, encompassing performance tuning, backup and recovery, and routine maintenance, ensuring optimal database functionality and reliability.
- Monitor access, and audit logs, and ensure data masking and encryption at rest and in transit, adhering to strict security protocols.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across global boundaries through multiple data centres and Azure regions.
- Design and development of Datalake and Deltalake technologies for cloud data ingestion, classification, storage and dissemination.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Manage data domains with data stewards to generate data products for consumption.
- Work with metadata and metadata management tools, including reference data and master data management.
- Proactively build the latest Azure enterprise data warehouse through to PowerBI reporting.
- Back fill as the technical lead for the business intelligence/data management team.
- Manage the business intelligence team, until a manager is brought on board to fill that function.
Qualifications, skills and experience
- 5+ years of experience in a Data Engineer role, with practical experience.
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organisational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Detailed experience in data modelling in cloud environments, structured and unstructured.
- Rostered on-call support for any issues with the Enterprise Data Warehouse (EDW cloud), Global Data Warehouse (GDW on premise), global ETL and data management.
- Certifications from Microsoft Azure would be highly considered. Microsoft Certified: Azure Data Engineer Associate. DP-203, no later than 12 months old.
- Experience using big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases with data pipeline and workflow management tools.
- Experience with Azure cloud services and the Microsoft Synapse technologies.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Demonstrated experience in cloud technologies: Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks, PowerBI or similar data visualisation tool.
- An innovative mindset, curious about AI and emerging technologies.
Team: Information Technology
Working Pattern: Full time
Location: London
Contract type: Permanent Contract
Diversity & Inclusion: We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives. We see this as essential to our success, including our ability to innovate and achieve sustained high performance. This is a key part of our Values—Human, Bold, and Outstanding.
Senior Data Engineer employer: Herbert Smith Freehills
Herbert Smith Freehills Kramer is an exceptional employer that prioritises the growth and development of its employees, offering a dynamic work culture that fosters innovation and collaboration. Located in London, our firm provides access to cutting-edge technology and resources, alongside opportunities for professional advancement in a globally recognised legal environment. We are committed to diversity and inclusion, ensuring that every team member feels valued and empowered to contribute to our ambitious goals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Herbert Smith Freehills Kramer on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Azure skills. Be ready to discuss specific projects where you’ve built data pipelines or optimised data processes. Show us how you tackle complex problems and deliver results!
✨Tip Number 3
Don’t forget to showcase your innovative mindset! Think about how you can leverage AI and emerging technologies in your work. Bring fresh ideas to the table during interviews to stand out from the crowd.
✨Tip Number 4
Apply through our website for the best chance of getting noticed. Tailor your application to highlight your experience with big data tools and cloud technologies, and let us know how you can contribute to our ambitious goals!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Azure, and big data technologies. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at Herbert Smith Freehills Kramer. Let us know why you’re excited about this opportunity!
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include details about the challenges you faced and how you overcame them. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Herbert Smith Freehills
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the specific data technologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss your experience with Azure services, big data tools, and data modelling. Being able to speak confidently about your past projects will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to data pipelines and architecture. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your analytical skills and how you’ve successfully navigated complex data issues.
✨Understand Their Business Needs
Research Herbert Smith Freehills Kramer and understand their core business areas, especially in energy, infrastructure, and resources. Be ready to explain how your skills can directly contribute to their goals. Tailoring your responses to align with their ambitions will show that you’re genuinely interested in the role and the company.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that reflect your interest in the role and the company. Inquire about their current data challenges or future projects involving data analytics. This not only shows your enthusiasm but also gives you a chance to assess if the company is the right fit for you.
