Senior Data Engineer

Job Description

Responsibilities

We have a fantastic opportunity for an experienced Data Engineer to join our global team. This technical role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients.

This is a deeply technical, hands-on role requiring an experienced practitioner who will get directly involved in expanding and optimizing our data pipeline architecture. We need a proven data engineering professional with extensive, current experience in building and managing complex data infrastructures. The ideal candidate will have a track record of rolling up their sleeves to construct, troubleshoot, and refine data pipelines through direct, practical work.

You will actively support our software developers, database architects, data analysts, and data scientists by directly implementing data initiatives, not just strategizing. Your day-to-day responsibilities demand practical, technical expertise in data wrangling, with a proven ability to navigate and leverage significant data assets to build optimal production-ready models.

You will ensure optimal data delivery architecture is consistent throughout ongoing projects and you must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Tasks (what does the role do on a day-to-day basis)

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• 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 AWS, Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Document source-to-target mappings
• Re-engineer manual data flows to enable scaling and repeatable use
• Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally
• Develop business intelligence reports that can be reused
• Supporting the Lead Data Engineer providing day to day supervision of the Data Science and Engineering team
• Provide in-country coordination for the team ensuring the India team adheres to processes and policy at the local level

Key behaviours we expect to see

Qualifications

Education / professional qualifications

Background & Technical experience

Languages

Fully proficient in spoken and written English, additional European languages will be an asset

Additional Information

OUR COMMITMENT TO YOU AND THE ENVIRONMENT

Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment.

There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee.

Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 5,800+ employees - from 94 nationalities, across 25 countries - to each achieve their potential.  Through IQ-EQ Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced.

We’re committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success leads to our sustainability and success. We’re emotionally invested in our clients right from the beginning.