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Data Engineer

2 Locations, 2 Locations
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Job Overview

Salary £32k - £52k (AI est.)
Location 2 Locations, 2 Locations
Type Full time

Skills & Requirements

85%

Python

Essential skill for this role

85% Required
77%

SQL

Essential skill for this role

77% Required
69%

Access

Essential skill for this role

69% Required
61%

Teams

Essential skill for this role

61% Required
Python
SQL
Access
Teams
Tableau
Power BI
Delta
Agile

Qualifications & Education

About the Role

Data Engineer

Curated brief to help you tailor your application.

Role Overview

Start by showing recruiters you understand the team's mission and environment.

Hamilton Lane is looking to expand our team to satisfy the needs of our growing client base. Hamilton Lane is built on collaboration, teamwork and integrity. Our employees pursue excellence and always strive to do the right thing. We invest in our employees, clients and partner relationships, as well as, in the technology and resources necessary to remain competitive, working in a competitive environment that inspires innovation.

What we do:

As a recognized leader in providing Private Markets Solutions to clients across the globe, we manage approximately $140.9 billion in discretionary assets and have oversight of an additional $845.3 in non-discretionary assets as of June 30, 2025.

As an ETL Data Engineer, you will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining ETL data integration processes primarily using Python (PySpark), Azure Synapse Analytics Pipelines, and other Azure Synapse Analytics resources, ensuring the accuracy and availability of data for our analytical need. You will work closely with data scientists, analysts, and other stakeholders to deliver high-quality, well-organized data for insights and decision-making.

  • The OpportunityWe are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team.
  • ETL Data EngineeringDevelop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading.
  • Data WarehousingApply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Data Source ExpertiseExtract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Azure Synapse Analytics ExpertiseUtilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance.
  • Data Fabric ConceptsContribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities.
  • Data ModelingCollaborate with data architects to create data models and schemas that align with business requirements.
  • Data QualityImplement data quality checks and validation processes to maintain data accuracy and consistency.
  • Performance TuningIdentify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs.
  • Monitoring and TroubleshootingMonitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • DocumentationMaintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations.
  • CollaborationWork closely with cross-functional teams to understand data requirements and provide support for data-related initiatives.
  • Security and ComplianceEnsure data security and compliance with data governance and privacy standards.

Skills Snapshot

Double down on these tools and frameworks in your application.

  • Python
  • SQL
  • Access
  • Teams
  • Tableau
  • Power BI
  • Delta
  • Agile

Reward & Progression

See how compensation, benefits, and growth are framed.

At Hamilton Lane, our benefits philosophy is simple: to provide our employees with a competitive suite of benefits and services to help navigate through the complexities and challenges of working, living, raising a family, and eventually retiring.

To do this, Hamilton Lane offers the following benefits:

Enhancing Your Physical and Emotional Health 

Employees have access to healthcare coverage, mental health resources, health & fitness reimbursement program, and Wellness Rewards Program.

Developing Your Career

Tuition and certification reimbursement programs are available, along with continual education and development trainings for you to grow with Hamilton Lane.

 

Supporting Your Family & Community

For our communities, Hamilton Lane provides paid time off to volunteer and compensates for referring qualified candidates that join our team. 

For growing family, we offer an adoption reimbursement program, paid time off for new parents and newlyweds, and provide travel support for nursing parents.  

 

Safeguarding Your Financial Wellbeing

Hamilton Lane contributes to retirement programs and offers an employee stock purchasing plan.

We offer a competitive salary, annual discretionary bonus and a comprehensive benefits package which includes: Medical, Prescription, Dental, Paid Time Off, 401k plan, Life and Disability Insurances, Tuition Reimbursement, Employee Stock Purchase Program, Health Club Reimbursement and Flexible Spending Accounts.

Hamilton Lane is an affirmative action-equal opportunity employer. All qualified applicants will be considered for employment without regard to their race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.

If you need a reasonable accommodation to complete your application, please contact Human Resources at [email protected].

Hamilton Lane is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Hamilton Lane via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Hamilton Lane. No fee shall be paid in the event the candidate is hired by Hamilton Lane as a result of the referral or through other means.

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Frequently Asked Questions

A Data Engineer is responsible for key financial functions including analysis, reporting, and strategic planning. This level position requires expertise in sector dynamics and involves working with cross-functional teams to drive business growth and financial performance.
This Data Engineer role typically requires a degree in Finance, Accounting, Economics, or related field. Candidates should have relevant experience in sector, strong analytical skills, proficiency in financial modeling, and excellent communication abilities. Professional qualifications such as CFA, ACCA, or ACA are often preferred.
Career progression from a Data Engineer role can lead to senior finance positions such as Finance Manager, Finance Director, or CFO roles. The sector offers diverse opportunities for professional development, including specialized areas like investment banking, corporate finance, or financial planning and analysis.
To apply for this Data Engineer position, click the 'Send CV' button above to submit your application directly to the hiring manager. Ensure your CV highlights relevant experience and financial expertise. Our recruitment consultants will review your application and contact you within 24-48 hours if your profile matches the requirements.