Data Governance Lead at EDF Trading – London, United Kingdom

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! When you join EDF Trading you'll become part of a diverse international team of experts who challenge conventional ideas, test new approaches and think outside the box. Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products.

EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it's experience that makes us leaders in the field. Energy is what we do.

Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy.

Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.

The Data Management team is part of the Data Team which works very closely with the Front Office and is the centre of master data management, data quality and control with direct responsibility over the development and maintenance of EDF Trading's data assets.

Position purpose

The Data Management team is looking for a Data Governance Lead to manage a team of analysts and work with the product team for defining requirements for Data Governance products and processes (i.e. Data Quality tool, Data Catalogue, APIs, Access Controls and policy documents) as well as coordinating and overseeing the work done by the departments involved. The Data Governance Lead is expected to have leadership and project management skills, and extensive experience of working with data governance frameworks and tools within a cloud environment. They will assume responsibility for the planning and implementation of all data governance initiatives.

The suitable candidate will have experience with SQL databases along with data modelling, data scraping, ETL, scripting and data support as well as direct experience implementing data governance initiatives within cloud platforms e.g. DataBricks. This is a hands-on role that additionally requires definition and documentation of data processes involved, guidelines, procedures and material for the customer. It requires understanding of data processes and analysis as well as willingness to learn about new technologies and big data tools.

Main responsibilities

• Own the data governance roadmap and drive meaningful improvements in EDFT's ability to securely ingest, monitor, explore and govern our data.
• Formulate requirements for the products developed by the Technology team based on customer needs (Data Catalogue, API Layer, Data Quality Tool, etc.)
• Liaise with Data Consumers to understand their needs for data usage and access and translate these into technical requirements.
• Line manage a small team of governance analysts, prioritize workloads and own the delivery of all data governance initiatives in line with plan.
• Select use cases from the Data Consumers and validate the requirements.
• Perform system analyses and testing to determine appropriate functionality of the features developed and to ensure that suitable controls are in place.
• Coordinate and lead work to complete milestones agreed with the Data Platform team as well as the Data Operations and Data Stewards.
• Design, develop, test, implement and support innovative and optimal data solutions within both existing and new systems.
• Participate in broader architectural discussions ensuring robust data governance principles are adhered to and suitable processes and tooling are in place.
• Design and specifications development for migration from legacy system to the new developed products.
• Ensure solutions are implemented correctly, properly documented and easily supported by the team.

This list is not exhaustive and may include other tasks assigned by the manager.

Required Skills and Experience

• Experience with requirements gathering (i.e. interaction with business users, technical developers), technical and functional specifications for products built in-house (i.e. data catalogue, data quality tool, data storing, retiring data, etc.)
• Experience with testing methodologies for end-to-end development process of in-house built products.
• Experience working with relational and non-relational database technologies.
• Leadership and Project Management skills required with the ability to shift between strategic planning and technical implementation.
• Hands-on experience working with unified analytics platforms such as DataBricks, GCP, AWS and familiarity with the available data governance tools.
• Good knowledge on SQL databases.
• Experience in data quality monitoring, ideally with event streams such as NiFi/Alteryx or similar.
• Good knowledge of data architecture and data modelling, as well as tools used to support these processes e.g. data catalogues, data quality tooling, data lineage monitoring.
• Experience working with JIRA, AzureDevops or other project management tools.
• Takes ownership of any issues that come up and facilitates their resolution quickly using own initiative while managing expectations.
• A thirst for the latest technologies and automation coupled with a curiosity to research and innovate on new approaches.
• A flexible approach and a willingness to move between multiple tasks and take on more responsibilities.
• Interest in energy trading and willingness to work across the business on understanding the needs of different teams.
• Able to multitask, switch focus and prioritise own tasks being comfortable to work under pressure with demanding front office users.

Desirable Skills and Experience

• Data Catalogue tools and implementation.
• Alteryx/NiFi.
• Familiarity with data visualization tools e.g. PowerBI or Tableau.
• Data extraction and manipulation languages e.g. SQL, Python.
• Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy.
• Experience with algorithmic trading systems and low-latency trading.
• Knowledge of financial markets is desirable but experience of working in other "big data" or HPC environments is equally valid.