Search for Senior Data Engineer positions in the Industrials & Energy sector, preferably in Birmingham, AL, with strong cloud solutions expertise, at least 8 years of experience, and a focus on AI/ML integration.

Okay, I've searched for Senior Data Engineer positions in the Industrials & Energy sector located in Birmingham, AL. I've filtered for roles that require strong cloud solutions expertise, with at least 8 years of experience, focusing on AI/ML integration. I found 76 relevant positions for you to review.

Senior Data Engineer

Birmingham, AL

Industrials & Energy

8 years + Experience

AI/ML Integration

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Data Engineer role at EY within the Industrials & Energy Sector focuses on designing and implementing large-scale data architectures that align with client needs and organizational objectives. The primary goal is to develop analytics solutions that extract significant business value while ensuring data quality and compliance with established architectural standards. This position demands strong expertise in cloud solutions, particularly AWS and Azure, alongside experience in managing teams and delivering complex data projects. Candidates will face challenges related to integrating emerging technologies like AI/ML and managing cross-functional stakeholder relationships. Furthermore, success in this role will be measured by the ability to translate complex business needs into effective technical solutions and ensure the scalability and performance of data engineering practices, validating data quality, and leading teams effectively.

Company Analysis:

EY operates within a competitive consulting landscape, focusing not just on data engineering but also on delivering comprehensive services across assurance, consulting, and strategy. The company’s commitment to building a better working world indicates a strong client-centric culture that emphasizes innovation, collaboration, and trust. With a diverse and globally connected workforce, candidates in this role are likely to collaborate in a fast-paced environment that values agility and responsiveness to evolving client needs. The Senior Data Engineer’s position is crucial within this context as it supports broader company goals related to digital transformation and cloud modernization. Given EY's focus on sustainability and ethical practices, the right candidate will also need to embody a commitment to these values, positioning themselves as not only a technical leader but also a thoughtful steward of data ethics and compliance.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you faced a complex data challenge. How did you approach it, and what was the outcome?
1. Describe a situation where you had to lead a team through a significant change. What strategies did you use to ensure a smooth transition?
1. Give an example of how you built a collaborative relationship with a difficult stakeholder. What steps did you take to align their interests with project goals?
1. Can you provide an instance when you had to balance multiple projects with competing deadlines? How did you manage your time and deliverables?
Technical/Role-Specific Questions:
1. How would you design a scalable data pipeline in AWS for a new data source that is expected to grow rapidly?
1. What are the key considerations you take into account when ensuring data quality in your ETL processes?
1. Explain your approach to integrating AI/ML algorithms into existing data workflows. Can you provide an example of a project where you successfully did this?
1. How do you stay updated on the latest developments in cloud technologies and data engineering methodologies?
Situational Questions:
1. Imagine you are tasked with leading a project that involves transitioning legacy systems to cloud-native architectures. How would you approach this transformation?
1. You discover an inconsistency in the data that could impact client deliverables. What steps would you take to resolve this issue with minimal disruption?
Company Fit/Motivation Questions:
1. Why are you interested in working at EY, particularly in the Industrials and Energy sectors?
1. How do you believe your values align with EY's mission of building a better working world?
Questions for the Candidate to Ask the Interviewer:
1. Can you tell me more about the team dynamics in the Data Engineering department and how this role integrates with other functions?
1. What are some of the challenges the team is currently facing, and how might this role contribute to overcoming them?
1. How does EY foster a culture of innovation and continuous learning within the technology teams?

Job Details

Overview Company

Senior Manager Data Engineer

$142.6k/y-$325.8k/y

2 days ago

Highlight

HybridFull-time8+ yearsSenior

Summary

EY is seeking a Senior Data Engineer - Industrials & Energy Sector - Senior Manager - Consulting to join their team in Birmingham, AL. The role involves designing and building analytics solutions that deliver significant business value.

About the Role

As a Senior Manager in Data Engineering, you will lead the strategic design and implementation of data engineering initiatives, oversee the design and maintenance of scalable data pipelines using cloud platforms, and collaborate with AI/ML engineers to integrate advanced analytics. You will manage complex processes, ensure data quality, and lead a team of data engineers while engaging in pre-sales activities and client relationship management.

About You

Required:

Bachelor’s degree in Engineering, Computer Science, Data Science or a related field.
Typically, no less than 8 years of relevant experience in data engineering.
5+ years of experience in the Manufacturing, Power & Utilities, Automotive, and/or Oil & Gas industries.
Experience with AWS, Azure, Databricks, Python, Pyspark, API development, and cloud modernization practices.
Strong organizational skills with the ability to manage multiple projects simultaneously.

Preferred:

Master’s degree in Engineering, Computer Science, Data Science or a related field.
Experience leading teams and managing change effectively.
Strong negotiation and influencing skills.
A commitment to continuous learning and professional development.
A strong interest in applying emerging technologies to solve real-world data challenges.

Benefits

Comprehensive compensation and benefits package.
Base salary range in the US: $142.6k–$325.8k.
Base salary range in New York City Metro Area, Washington State and California (excluding Sacramento): $171.1k–$370.3k.
Medical and dental coverage, pension and 401(k) plans.
Flexible vacation policy and paid holidays.

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners.

Find out more about the EY global network: http://ey.com/en_gl/legal-statement

Birmingham, AL