Asset & Wealth Management - Data Engineer - Associate - Birmingham

WeAreTechWomen; Birmingham; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global financial services firm in Birmingham is seeking a data engineer to expand and optimize cloud-based data pipeline architectures. Candidates should possess over 3 years of experience in data processing and software engineering, with a strong command of Python. Responsibilities include building robust data pipelines and reporting tools. This role offers opportunities for career growth and a commitment to diversity and innovation.

Qualifications

• 3+ years of experience in data processing & software engineering.
• Ability to build high-quality, scalable data-oriented products.
• Experience with distributed data technologies.

Responsibilities

• Responsible for expanding and optimizing cloud-based data pipeline architecture.
• Building robust data pipelines and reporting tools.

Skills

Data processing & software engineering

Distributed data technologies (Hadoop, Spark, etc.)

Strong Software Engineering with Python

Data architecture and modeling

Building workflows (ETL pipelines)

SQL and query optimization

Problem-solving skills

Fast-paced environment adaptability

Education

MS/BS in Computer Science or relevant industry experience

Tools

Amazon AWS

Google Cloud

Spark streaming

Apache Flink

Kafka

Job description

MORE ABOUT THIS JOB

Please note division and function examples are representative of opportunities common for this skill‑set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process.

Marcus by Goldman Sachs

The firm’s direct‑to‑consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a start‑up with more than 150 years of experience. Today, we serve millions of customers across multiple products, leveraging innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity.

Your Impact

This person will be:

• responsible for expanding and optimizing our cloud based data pipeline architecture
• building robust data pipelines and reporting tools

Basic Qualifications

• 3+ years of experience in data processing & software engineering and can build high‑quality, scalable data oriented products
• Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large‑scale data pipelines
• Strong Software Engineering experience with in-depth understanding of Python
• Strong understanding of data architecture, modeling and infrastructure
• Experience with building workflows (ETL pipelines)
• Experience with SQL and optimizing queries
• Problem solver with attention to detail who can see complex problems in the data space through end to end
• Willingness to work in a fast paced environment
• MS/BS in Computer Science or relevant industry experience

Preferred Qualifications

• Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
• Experience building stream‑processing applications (Spark streaming, Apache‑Flink, Kafka, etc..)

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.