Data Engineer

NRF; Greater London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A global law firm in Greater London seeks a talented Data Engineer to build and manage data pipelines for efficient data integration. The ideal candidate will be degree educated in computer science or data analysis, with experience in data management disciplines and proficiency in modern data architectures. Responsibilities include designing data pipelines, implementing data quality checks, and collaborating across the business. This full-time position offers an exciting opportunity to contribute to a major Data Programme across the EMEA region.

Qualifications

• Degree educated in computer science, data analysis or similar.
• Ability to work within a team and share knowledge.
• Problem-solving skills and ability to recognize and solve repetitive problems.

Responsibilities

• Design and develop data pipelines that extract, transform, and load data.
• Implement data quality checks to ensure accuracy and completeness.
• Collaborate across the business to establish data management vision.

Skills

Data integration

Data modeling

Optimization

Problem-solving

Collaboration

Business acumen

Data science languages (R, Python)

Interpersonal skills

Education

Degree in computer science, data analysis, or similar

Tools

Azure

Databricks

SQL Server

MongoDB

Apache Spark

Apache Kafka

Airflow

Job description

Practice Group / Department :

Integrations / Development & Data Management

Job Description

Were Norton Rose Fulbright - a global law firm with over 50 offices and 7000 employees worldwide. We provide the worlds preeminent corporations and financial institutions with a full business law service. At Norton Rose Fulbright our strategy and our culture are closely entwined. We know that our expansion will mean little unless it is underpinned by truly global collaboration and we understand that pioneering work only takes place when our people have room to move and think beyond boundaries. As well as the relevant skills and experience were looking for people who are innovative commercial and value the work that they do.

We are embarking on an exciting Data Programme of work and are looking for a talented Data Engineer to join our team. You will play a crucial role in building and managing data pipelines that enable efficient and reliable data integration transformation and delivery for all data users across the EMEA Region.

1 2 month FTC possibility of being made permanent

Responsibilities

• Design and develop data pipelines that extract data from various sources transform it into the desired format and load it into the appropriate data storage systems
• Implement data quality checks and validations within data pipelines to ensure the accuracy consistency and completeness of data
• Optimise data pipelines and data processing workflows for performance scalability and efficiency
• Take authority responsibility and accountability for exploring the value of information available and of the analytics used to provide insights for decision making
• Work across the business to establish the vision for managing data as a business asset
• Monitor and tune data systems identifies and resolves performance bottlenecks and implements caching and indexing strategies to enhance query performance
• Establish the governance of data and algorithms used for analysis and analytical decision making
• Collaborate with Subject Matter Experts to optimize models and algorithms for data quality security and governance

Requirements

• Ideally degree educated in computer science data analysis or similar
• Strategic and operational decision-making skills
• Ability and attitude towards investigating and sharing new technologies
• Ability to work within a team and share knowledge
• Ability to collaborate within and across teams of different technical knowledge to support delivery to end users
• Problem-solving skills including debugging skills and the ability to recognize and solve repetitive problems and root cause analysis
• Ability to describe business use cases data sources management concepts and analytical approaches

Experience / Skills

• Experience in data management disciplines including data integration modeling optimisation data quality and Master Data Management
• Excellent business acumen and interpersonal skills; able to work across business lines at all levels to influence and effect change to achieve common goals.
• Proficiency in the design and implementation of modern data architectures (ideally Azure / Microsoft Fabric / Data Factory) and modern data warehouse technologies (Databricks Snowflake)
• Experience with database technologies such as RDBMS (SQL Server Oracle) or NoSQL (MongoDB)
• Knowledge in Apache technologies such as Spark Kafka and Airflow to build scalable and efficient data pipelines
• Ability to design build and deploy data solutions that explore capture transform and utilize data to support AI ML and BI
• Proficiency in data science languages / tools such as R Python SAS
• Awareness of ITIL (Incident Change Problem management)

Diversity Equity and Inclusion

To attract the best people we strive to create a diverse and inclusive environment where everyone can bring their whole selves to work have a sense of belonging and realize their full career potential.

Our new enabled work model allows our people to have more flexibility in the way they choose to work from both the office and a remote location while continuing to deliver the highest standards of service. We offer a range of family friendly and inclusive employment policies and provide access to programmes and services aimed at nurturing our peoples health and overall wellbeing. Find more about Diversity Equity and Inclusion here.

We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams. We strive to create an inclusive and accessible recruitment process for all candidates. If you require any tailored adjustments or accommodations please let us know here.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1