National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Ryan
Greater Manchester
1 month ago
Create job alert

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 the 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. Working directly with management, product teams and practice personnel to understand their platform data requirements Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions

Client

Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences Analyzing user feedback and activity and iterate to improve the services and user experience

Value

Securing data in alignment with internal information and data security policies, best practices and client requirements Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance Staying 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 and 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 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

#DICE

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.