Senior Data Engineer - Universities Superannuation Scheme Limited

Ussim
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Agile Methodologies
Data analysis
Azure
Cloud Computing
Encodings
Computer Security
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Security
Data Warehousing
Python
NoSQL
Powershell
Scrum
SQL Databases
Azure
Snowflake
Spark
Data Strategy
Microsoft Fabric
Data Lake
Information Technology
Data Lakehouse
Databricks

Job description

When you join USS, the size and scale of our pension scheme means you will have numerous opportunities to learn and develop your career. Given our size you'll have real autonomy and influence as you collaborate closely with a wide-ranging team of experts., In your role as Senior Data Engineer you will make a meaningful and valued contribution from the outset. This role will provide a great opportunity to assist in the development and build of the Investment Data Platform (IDP).

This senior position is essential to advancing USSIM's data strategy project and wider agenda, aligning with the organisation's strategic objectives and shaping the technology, people and processes required to embed a data driven culture.

What you will be doing

As a trusted part of the Operations team you will be responsible for:

  1. Developing a Fabric Data Lakehouse for the Investment Management business, implementing scalable and secure ETL/ELT frameworks to ingest, transform and deliver data, across a medallion architecture.
  2. Knowledge share across a small team of data engineers, fostering strong data engineering practices aligned to industry standards.
  3. Working in partnership with architects, support the design and implementation of best practices in development and data disciplines.
  4. Partnering with business stakeholders, technology, data and analytics teams, to translate business needs into scalable solutions.
  5. Working with the Data Oversight and Information Security teams to ensure compliance with data security and privacy requirements, implementing secure-by-design engineering practices.
  6. Advocating and educating colleagues and stakeholders on data engineering capabilities, gaining stakeholder buy-in to the value and potential of the data platform's capabilities.
  7. Providing technical support and troubleshooting production issues.
  8. Analysing business requirements and document technical solutions and processes.

Requirements

  1. Significant practical data engineering experience delivering scalable data platform solutions on cloud technologies e.g. Microsoft Fabric, Databricks, Azure, Snowflake.
  2. Strong technical proficiency in data engineering and cloud technologies e.g. Python, Spark, SQL/NOSQL, PowerShell, Azure Data Factory, Azure DevOps.
  3. Professional experience in modern data warehousing, data lakes and lakehouse architectures.
  4. Agile practitioner with experience working with scrum teams, sprints, backlogs.
  5. Experience working in Investment Management, with a good understanding of the data which underpins Investment Management activities.
  6. Understanding and first-hand experience working with data masters, market data sources, data quality/cataloguing/lineage tools.
  7. Microsoft certified in Fabric Analytics Engineer such as DP-600 or DP-700.
  8. Excellent communication and interpersonal skills, operating at different levels across the organisation.
  9. Self-starter, enthusiastic, and hands-on individual who wants to make a difference in a team working environment.

Desirable

  1. Understanding of both business and data architecture practices, with experience working with data models and toolsets such as Bizzdesign and ER/Studio.
  2. Understanding of data governance, data quality and data security practices, and experience in adopting and embedding these capabilities within platform deliveries.
  3. Qualification in Computer Science, Data Engineering, Data Science

Benefits & conditions

  1. Great starting salary
  2. Generous annual leave package
  3. Access to a high quality pension scheme provided through Universities Superannuation Scheme
  4. Supportive people policies (including enhanced occupational sickness pay and family friendly pay)
  5. Financial contributions towards your personal development to help you maintain your physical and mental wellbeing
  6. Access to a range of health and wellbeing services i.e., private healthcare, discounted gym membership
  7. Learning and development opportunities to develop your skills, knowledge and talent
  8. Employee Volunteer Day's to support the communities where you work and live
  9. Cycle to Work Scheme

Our culture and values

Our people are what makes us different. We work together to create a diverse and inclusive culture that embraces individuality, where people are welcomed and feel comfortable in the knowledge that they can be themselves. Our purpose firmly states the importance of members, putting them 'front and centre' of what we do. This is embedded through our values:

Integrity

Collaboration

About the company

At USS, every individual contributes to building a secure financial future for our members and their families. We strive to create a work environment where everyone can thrive professionally while making a meaningful impact on the lives of others. We're also committed to helping you build your career by providing opportunities for development. We put a focus on recognising and supporting each individual's unique career path, driving this forward with the support of an engaged and proactive management team. Here at USS, we want you to thrive in and out of work with a friendly team, flexible culture and excellent range of benefits!

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