At a Glance
- Tasks: Lead the design and implementation of scalable data solutions and collaborate with senior stakeholders.
- Company: Join a diverse and innovative firm under the Boston Consulting Group, focused on data-driven insights.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Encouraging diverse applicants; all backgrounds welcome to apply.
- Why this job: Make an impact in the financial services sector by leveraging cutting-edge data technologies.
- Qualifications: Experience in data engineering, strong programming skills, and knowledge of database technologies.
The predicted salary is between 70000 - 90000 £ per year.
BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world’s leading financial services firms to help them operate more effectively. Expand’s activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance.
Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients’ needs and maintain our professional, supportive and entrepreneurial working culture.
We’re looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions who also brings strategic product thinking and cross-functional leadership. In this role, you’ll lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, and contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders.
- Architect & Build Scalable Data Solutions
- Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines.
- Design and build robust ETL/ELT processes and data architectures using modern tools and techniques.
- Lead database design, data modelling, and integration strategies to support analytics at scale.
- Drive Data Integration & Management
- Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data.
- Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security.
- Create and manage hybrid cloud data environments and support data pipelines for big data platforms.
- Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale.
- Lead by example to help foster a high-performing, collaborative, and agile culture.
- Proactively identify and mitigate business, operational, and governance risks.
- Provide clear, data-driven updates on product performance and technical milestones to stakeholders.
- Work together with data scientists
- Understand analytical needs and curate high-quality data sets.
- Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready.
- Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement.
- Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data.
Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics is required. Strong programming skills in at least two of the following: Python, SQL, Java. Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams. Deep knowledge of database technologies (SQL Server, Oracle, PostgreSQL, MySQL) is essential. A solid understanding of software engineering best practices – code reviews, testing frameworks, CI/CD, and code maintainability is necessary. Experience deploying applications into production environments, including packaging, monitoring, and release management is expected. The ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders is crucial. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with Informatica, Talend, Pentaho, DataStage, and data warehousing concepts is beneficial. A strong understanding of data security, compliance, and governance best practices is important.
Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. All qualified applicants will receive consideration for employment without regard to race, colour, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
Engineering Project Manager (field based) in England employer: Boston Consulting Group
At BCG Expand, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to diversity and inclusion ensures that every voice is heard, while our focus on employee growth provides ample opportunities for professional development in the dynamic field of data engineering. Located in London, we offer a supportive environment where you can thrive and make a meaningful impact on the financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Project Manager (field based) in England
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We think you need these skills to ace Engineering Project Manager (field based) in England
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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