Senior Data Engineer - Central Services
Senior Data Engineer - Central Services
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Job Description
Practice Group / Department:
Application Centre - CanadaJob 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.
Our London office is currently looking for a Senior Data Engineer.
The Role
The Senior Data Engineer will be responsible for designing developing and maintaining the infrastructure and systems required for data storage processing and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration transformation and delivery for all data users across the enterprise.
Key Responsibilities
- Designs and develops data pipelines that extract data from various sources transform it into the desired format and load it into the appropriate data storage systems
- Collaborates with data scientists and analysts to optimize models and algorithms for data quality security and governance
- Integrates data from different sources including databases data warehouses APIs and external systems
- Ensures data consistency and integrity during the integration process performing data validation and cleaning as needed
- Transforms raw data into a usable format by applying data cleansing aggregation filtering and enrichment techniques
- Optimizes data pipelines and data processing workflows for performance scalability and efficiency
- Monitors and tunes data systems identifies and resolves performance bottlenecks and implements caching and indexing strategies to enhance query performance
- Implements data quality checks and validations within data pipelines to ensure the accuracy consistency and completeness of data
- Takes authority responsibility and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making automated decisions and augmentation of human performance
- Works with board members and other executives to establish the vision for managing data as a business asset
- Establishes the governance of data and algorithms used for analysis analytical applications and automated decision making
Skills and Experience Required
- A bachelors degree in computer science data science software engineering information systems or related quantitative field; masters degree advantageous.
- At least six years of work experience in data management disciplines including data integration modeling optimization and data quality or other areas directly relevant to data engineering responsibilities and tasks
- Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake)
- Expert knowledge in Apache technologies such as Kafka Airflow and Spark to build scalable and efficient data pipelines
- Ability to design build and deploy data solutions that capture explore transform and utilize data to support AI ML and BI
- Strong ability in programming languages such as Java Python and C/C
- Ability in data science languages/tools such as SQL R SAS or Excel
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS Azure GCP) and modern data warehouse tools (Snowflake Databricks)
- Proficiency in the design and implementation of modern data architectures (ideally Azure AWS. Microsoft Fabric GCP Data Factory) and modern data warehouse technologies (Snowflake Databricks)
- Experience with database technologies such as SQL NoSQL Oracle Hadoop or Teradata
- Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
- Expert problem-solving skills including debugging skills allowing the determination of sources of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems
- Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
- Ability to describe business use cases/outcomes data sources and management concepts and analytical approaches/options
- Ability to translate among the languages used by executive business IT and quant stakeholders.
#LI-JC1 #LI-Hybrid
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 Inclusionhere.
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.
Required Experience:
Senior IC
Employment Type
Full Time
