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For Companies At a Glance
- Tasks: Expand and optimise cloud-based data pipelines and reporting tools.
- Company: Join Goldman Sachs, a leading global investment firm with a start-up spirit.
- Benefits: Enjoy competitive salary, wellness programs, and professional development opportunities.
- Why this job: Make a real impact in data engineering while working with innovative technologies.
- Qualifications: 3+ years in data processing, strong Python skills, and experience with distributed data technologies.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
The predicted salary is between 28800 - 48000 £ per year.
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.
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.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
Asset & Wealth Management - Data Engineer - Associate - Birmingham employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset & Wealth Management - Data Engineer - Associate - Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills align with their needs. Practise common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any data pipelines or applications you've built that relate to the role you're applying for.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Goldman Sachs. Don’t miss out!
We think you need these skills to ace Asset & Wealth Management - Data Engineer - Associate - Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Engineer. Highlight your experience with data processing, software engineering, and any relevant technologies like Hadoop or Spark. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, don’t forget to highlight your problem-solving abilities. We love candidates who can tackle complex data challenges, so share examples of how you've approached and solved tough problems in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Goldman Sachs, Inc.
✨Know Your Data Tech
Make sure you brush up on your knowledge of distributed data technologies like Hadoop, Spark, and EMR. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong software engineering experience with Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of data processing.
✨Understand ETL Workflows
Be prepared to talk about your experience with building ETL pipelines. Have specific examples ready that highlight your ability to create robust data workflows and how you've optimised them for performance.
✨Cultural Fit Matters
Goldman Sachs values diversity and inclusion, so be ready to discuss how your unique background and experiences can contribute to their culture. Think about examples that show your adaptability and willingness to work in a fast-paced environment.