Bailey Abbott
Information Technology and Services
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Bailey Abbott. Skills: Data engineering, Cloud data platforms, Data pipelines, Data modeling. Represent Bailey Abbott as trusted consultant. Apply expertise to deliver outcomes”
What You'll Achieve.
Deliver high-quality outcomes; Deliver value-driven outcomes
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, Demonstrated experience as Data Engineer, Experience with modern cloud-based data platforms, Proficiency in SQL, Experience with Python or Scala, Experience designing and implementing batch and streaming pipelines, Familiarity with governance, cataloguing and lineage practices, Understanding of distributed processing concepts, Experience with CI/CD, version control, automated testing and DevOps/DataOps methodologies, Problem-solving skills, High attention to detail
Nice to Have
Relevant cloud or platform certifications
What You'll Do.
Represent Bailey Abbott as trusted consultant
Apply expertise to deliver outcomes
Design modern data pipelines
Build modern data pipelines
Maintain modern data pipelines
Engineer scalable ingestion solutions
Engineer scalable transformation solutions
Engineer scalable orchestration solutions
Engineer scalable automation solutions
Apply modern data architecture principles
Build semantic layers
Optimize semantic layers
Build analytical datasets
Optimize analytical datasets
Develop solutions for batch workloads
Develop solutions for real-time workloads
Embed governance by design
Write maintainable code
Contribute to CI/CD practices
Contribute to DataOps practices
Contribute to automation practices
Collaborate with analysts
Collaborate with data scientists
Collaborate with architects
Collaborate with stakeholders
Stay current with data engineering approaches
Stay current with data architectures
Stay current with best practices
How You'll Work.
Team & Collaboration
Agile environment; Analysts; Data scientists; Architects; Stakeholders
Process & Methodology
Agile
Full Job Description
**Our Company** We exist to bring amazing people together to explore the art of possible. Bailey Abbott are a progressive and dynamic IT Consultancy business working across both Public and Private sectors. People are at the core of everything we do. We’re all about nurturing and inspiring people – ours and our clients. We bring a positive attitude and mindset to everything we do. We confidently use our knowledge and skills to solve problems, finding a better and easier way forward. We deliver transformational outcomes to take businesses further, fearlessly. Confidence and trust is fundamental to delivering superior outcomes and we take ownership and responsibility for our commitments. **Our People** Our specialist IT Consultants are creative, collaborative, and passionate. We’re strong advocates for change, challenging the status quo through new thinking, technology, and practices. Always exploring creative ways to simplify complexity. As a Consultant with Bailey Abbott, you will have the opportunity to build your project portfolio by gaining exposure and experience working across different clients, industries, technologies, and methodologies, all while having the stability and security of a permanent position. **Our Career Opportunity** Bailey Abbott have an exciting opportunity for a Data Engineer to join our Data Intelligence capability. Our Data Intelligence specialists work within an active community of practice, enabling you to benefit from their years of collective experience and wisdom. _Working as a Data Engineer you will get the opportunity to:_ * Represent Bailey Abbott as a trusted consultant, applying your expertise to deliver high‑quality, value‑driven outcomes for clients * Design, build, and maintain modern data pipelines across cloud‑native and hybrid data ecosystems * Engineer scalable ingestion, transformation, orchestration, and automation solutions using contemporary data engineering frameworks and patterns * Apply modern data architecture princ
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