Manager Data Engineer - D& ET - Technology Consulting - Belfast & Derry/L'Derry

EY; Belfast; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Manager Data Engineer in Belfast, where you will leverage your expertise in data engineering and analytics to drive innovative solutions. This role offers the opportunity to collaborate with diverse teams, manage client relationships, and contribute to transformative projects in the digital landscape. You will be at the forefront of technology, helping clients navigate their data challenges while fostering a culture of continuous learning and inclusivity. If you are ready to take initiative and make a meaningful impact, this is the perfect opportunity for you.

Benefits

Continuous Learning Opportunities

Flexible Work Environment

Coaching and Leadership Development

Diverse and Inclusive Culture

Qualifications

• 5+ years in business analytics, data science, or data engineering.
• Excellent SQL skills and experience with cloud technologies.
• Familiarity with data modeling techniques and agile methodologies.

Responsibilities

• Design, develop, and maintain data pipelines and models.
• Implement data extraction and transformations, ensuring quality.
• Lead agile management and scrum processes for project success.

Skills

Business Analytics

Data Engineering

Data Modeling

SQL Development

Scripting

Data Cleansing

Cloud Technologies

Programming Languages (Python, Java, C#)

Agile Management

Education

Relevant Academic Background

Tools

Microsoft BI Toolset

Azure SQL Server

Azure Data Factory

PowerPlatform

Cloud Data Platforms (Snowflake, Databricks, Azure Synapse)

Job description

Manager Data Engineer – Digital & Emerging Technologies – Technology Consulting – Belfast

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity
This is a rapidly growing area, providing ample opportunity to develop your skill set to meet the demands of the digital landscape. Our Data Services Group helps apply cutting-edge technology and techniques to bring solutions to our clients. You'll work closely with clients and diverse teams from EY, offering a unique business perspective on how they can innovate and remain competitive in an ever-changing industry. We are seeking individuals with significant client-side and people management experience, who have gained project and technology delivery experience within large recognized organizations.

Your key responsibilities

1. Participate in presentations and proposals for medium complex projects or elements of highly complex projects.
2. Logical and physical data modeling - Design, develop, and maintain data pipelines and models.
3. Assist in data modeling and design reviews, striving for improved usability and efficiency.
4. Implement code for data extraction and basic transformations.
5. Validate data quality and maintain source control and versioning.
6. Contribute to data tool development and platform monitoring.
7. Write SQL scripts and stored procedures; optimize and tune SQL queries for performance and efficiency.
8. Design, implement, and maintain data security and access controls.
9. Troubleshoot and resolve data-related issues.
10. Agile management and scrum master, maintaining roadmap and tasks, ensuring the team is working towards clear goals.

To qualify for the role, you must have

1. 5+ years of experience in business analytics, data science, software development, data modeling, or data engineering.
2. Good understanding of scripting.
3. Excellent SQL, preferably T-SQL, development skills.
4. Experience in data wrangling and standard data cleansing in various formats, including CSVs and structured tables.
5. Good understanding of Microsoft BI toolset, including O365 tools and PowerPlatform (PowerApps/Power Automate/Power BI).
6. Good understanding of Azure cloud ETL toolset, including Azure SQL Server, Azure Data Factory, and Datalake.
7. Familiarity with cloud technologies, including Microsoft Azure Cloud infrastructure, data stores connections, and cloud functions concepts.
8. Experience in programming languages like Python, Java, or C#.
9. Experience in cloud data platforms like Snowflake, Databricks, or Azure Synapse.
10. Good understanding of Data Modeling techniques.

Ideally, you’ll also have

1. Relevant academic background.
2. Participation in the open-source community.
3. Expertise in automation and/or digital transformation.
4. Certification in MS Azure or AWS Cloud data engineering or similar track.
5. Understanding of the Software Development Life Cycle, DevOps, and MLOPS.
6. Strong skills in one object-oriented language.
7. Excellent presentation skills.
8. Understanding of project management and agile methodologies.

What we look for
We’re interested in candidates with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you’re serious about auditing and ready to take on some of our clients’ most complex issues, this role is for you.

What we offer

1. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
2. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
3. Transformative leadership: We’ll give you the insights, coaching, and confidence to be the leader the world needs.
4. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.
Apply now.

Please note:
Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. This information is kept confidential and will not be used to evaluate your candidacy. We collect this data to analyze our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world.