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Data Engineer

Ryan, LLC

Manchester

On-site

GBP 40,000 - 80,000

Full time

6 days ago
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Job summary

An established industry player is seeking a skilled Data Engineer to enhance data flow efficiency across the organization. This role involves developing and maintaining robust data pipelines, collaborating with product teams to deliver cloud-based solutions, and ensuring data security compliance. The ideal candidate will have a strong background in programming languages and cloud services, with a commitment to fostering a diverse and innovative team culture. Join a forward-thinking company that values accountability and offers a flexible work environment, competitive compensation, and opportunities for career growth.

Benefits

Competitive Compensation and Benefits
Home Office Stipend
Business Connectivity Reimbursement
Gym Membership or Equipment Reimbursement
LinkedIn Learning Subscription
Flexible Work Environment
Tuition Reimbursement After One Year
Accelerated Career Path
Award-Winning Culture & Community Outreach

Qualifications

  • 3+ years of experience in developing data technologies and deploying ETL solutions.
  • Fluency in databases and experience with distributed data platforms is a plus.

Responsibilities

  • Develop and maintain data pipelines within the Platform Reference Architecture.
  • Collaborate on an Agile team to design and implement scalable data solutions.

Skills

Python
Scala
Java
.Net
ETL Solutions
Data Pipeline Development
Cloud Services (AWS/Azure)
Database Fluency
AI/ML Pipelines

Education

Bachelor's Degree in Related Field
Master's Degree in Related Field

Tools

Microsoft Project
Microsoft Word
Microsoft Excel
Microsoft Access
Microsoft PowerPoint
Microsoft Outlook

Job description

Why Ryan?
  • Competitive Compensation and Benefits
  • Home Office Stipend
  • Business Connectivity Reimbursement (Phone/Internet)
  • Gym Membership or Equipment Reimbursement
  • LinkedIn Learning Subscription
  • Flexible Work Environment
  • Tuition Reimbursement After One Year of Service
  • Accelerated Career Path
  • Award-Winning Culture & Community Outreach

The Data Engineer, Data Engineering is responsible for identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization. This role requires an enterprise mindset to build out robust, high-performance technology.

Duties and Responsibilities, aligned with Key Results:

People
  • Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.
  • Work directly with management, product teams, and practice personnel to understand their platform data requirements.
  • Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers, and supervisors.
  • Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance.
  • Foster an innovative, inclusive, and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions.
Client
  • Collaborate on an Agile team to design, develop, test, implement, and support highly scalable data solutions.
  • Work with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences.
  • Analyze user feedback and activity and iterate to improve the services and user experience.
Value
  • Secure data in alignment with internal information and data security policies, best practices, and client requirements.
  • Create and implement robust cloud-based data solutions that scale effectively, providing powerful experiences for both internal teams and clients.
  • Perform unit tests and conduct reviews with other team members to ensure solutions and code are rigorously designed, elegantly coded, and effectively tuned for performance.
  • Stay on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
  • Perform other duties as assigned.
Education and Experience:
  • Bachelor's and/or master's degree in a related field.
  • 3+ years of experience developing data technologies.
  • 3+ years of experience deploying ETL solutions in production environments.
  • 3+ years of experience with cloud-based data services, preferably in AWS or Azure.
  • 3+ years of experience developing Python, Scala, Java, .Net, or similar solutions in a backend or data wrangling capacity.
  • 3+ years of experience in mixed Windows/Linux environments.
Additional Required Skills and Experience:
  • Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience, and judgment.
  • Fluency in one or more databases, preferably relational; NoSQL is a plus.
  • Experience with distributed data platforms is a plus.
  • Exposure to AI/ML pipelines is preferred.
  • Experience deploying, monitoring, and maintaining data pipelines in production environments.
  • Commitment to diversity, accountability, transparency, and ethics.
Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities:
  • None
Work Environment:
  • Standard indoor working environment.
  • Occasional long periods of sitting while working at a computer.
  • Must be able to lift, carry, push, or pull up to 30 lbs.
  • Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.
  • Independent travel requirement: As Needed

Equal Opportunity Employer: disability/veteran

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