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Senior Data Engineer
Diamondpick
posted 2mon ago
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Flexible timing
Key skills for the job
Job Description
Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics, and technology solutions to the
financial services sector, including asset managers, corporate and investment banks, private equity and venture capital
firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with
proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently
and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London
and operates from 10 locations worldwide.
About Acuity
Business Unit: Data Science, DTS
The Data and Technology Services (DTS) is a fast-growing business within Acuity powered by over 500 professionals
with AI, Cloud, data analytics, data engineering, application development, RPA, and digital transformation experience.
The data and tech professionals at Acuity work closely with the financial domain experts in a centre of excellence model
to design and deliver contextual outcomes to our capital markets clients. Data and Technology Services
Role: Data Engineer, Corporate Banking
As a member of the Data and Technology practice, you will be working on advanced AI & ML engagements tailored for the
investment banking sector. This includes developing and maintaining data pipelines, ensuring data quality, and enabling
data-driven insights. Your core responsibility will be to build and manage scalable data infrastructure that supports our proof-
of-concept initiatives (POCs) and full-scale solutions for our clients. You will work closely with data scientists, DevOps
engineers, and clients to understand their data requirements, translate them into technical tasks, and develop robust data
solutions.
Your primary duties will encompass:
Develop, optimize, and maintain scalable and reliable data pipelines using tools such as Python, SQL, and
Spark.
Integrate data from various sources including APIs, databases, and cloud storage solutions such as Azure,
Snowflake, and Databricks.
Implement data quality checks and ensure the accuracy and consistency of data.
Manage and optimize data storage solutions, ensuring high performance and availability.
Work closely with data scientists and DevOps engineers to ensure seamless integration of data pipelines and
support machine learning model deployment.
Monitor and optimize the performance of data workflows to handle large volumes of data efficiently.
Create detailed documentation of data processes.
Implement security best practices and ensure compliance with industry standards.
Experience / Skills
5+ years of relevant experience in:
Experience in a data engineering role, preferably within the financial services industry.
Strong experience with data pipeline tools and frameworks such as Python, SQL, and Spark.
Proficiency in cloud platforms, particularly Azure, Snowflake, and Databricks.
Experience with data integration from various sources including APIs and databases.
Strong understanding of data warehousing concepts and practices.
Excellent problem-solving skills and attention to detail.
Strong communication skills, both written and oral, with a business and technical aptitude.
Additionally, desired skills:
Familiarity with big data technologies and frameworks.
Experience with financial datasets and understanding of investment banking metrics.
Knowledge of visualization tools (e.g., PowerBI).
Education
Bachelors or Masters in Science or Engineering disciplines such as Computer Science, Engineering,
Mathematics, Physics, etc.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Data Engineer roles with real interview advice
What people at Diamondpick are saying
What Diamondpick employees are saying about work life
based on 301 employees
Flexible timing
Monday to Saturday
No travel
Day Shift
Diamondpick Benefits
Submitted by Company
Cafeteria 
Work From Home Team Outings Soft Skill Training Job Training Health Insurance
Submitted by Employees
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