Data Solutions
Engineer

Type=Data Solutions Engineer, Facing=Left
As an Entelect Data Solutions Engineer, you’re always inquisitive.

You’re curious about data, how it flows from source systems through to meaningful insights, and the role you play in shaping that journey. You enjoy working across the full data lifecycle, turning complex, messy data into something structured, reliable, and valuable.

At Entelect, you’ll work with large organisations solving real business problems in complex environments. You’ll sit at the intersection of business and technology, building data pipelines, shaping datasets, and enabling smarter decision making.

You’re not just technical. You ask the right questions, challenge assumptions, and bring clarity where there is complexity.

Ultimately, you don’t just work with data. You use it to create impact.

This is the entry-level role and the starting point of your journey as a Data Solutions Engineer at Entelect.

You may have recently graduated or be early in your career, with a growing passion for data and how it can be used to solve real problems. You’ll be guided by experienced team members as you begin building the core skills and habits that define great data practitioners.

Over time, you’ll learn how to work with strong data modelling principles, contribute to real projects, and collaborate with stakeholders, business analysts, customers, and product owners. You’ll develop the ability to read, understand, and analyse data, while starting to see how it all connects to meaningful business outcomes.

Most importantly, you’ll build a solid foundation that sets you up for long-term growth in the world of data.

 

Detailed Job Spec

Deliver
  • Working with data from multiple sources, helping to clean, transform, and shape it into reliable, usable datasets
  • Contributing to the design and development of data pipelines, while learning how to build for scalability and performance
  • Collaborating with Solution Architects and senior engineers across cloud, hybrid, and on-prem environments
  • Supporting the creation of dashboards and data products that drive real business decisions
  • Gaining exposure to advanced analytics, including machine learning and AI, and understanding where they add value
  • Applying good engineering practices, including testing, documentation, and maintaining data quality, lineage, and metadata
People
  • Taking ownership of your growth, being open to feedback, and learning from those around you
  • Collaborating with your team to solve problems and contribute to delivery outcomes
Customer
  • Working with your team to understand customer needs and how data can support better decision making
  • Contributing to solutions that are secure, reliable, and aligned to industry standards
  • A degree in Computer Science, Engineering, Information Systems, or a related field
  • A strong foundation in software engineering fundamentals, with a commitment to writing clean, maintainable code
  • An interest in data and analytics, with some exposure to data modelling, data engineering, or working with datasets
  • Experience working in a team environment, whether through projects, internships, or early career roles
  • Good problem-solving skills, with the ability to break down complex problems and think logically
  • An understanding of data visualisation principles and how data can be used to support decision making
  • Strong communication skills and the ability to collaborate with both technical and non-technical people
  • A growth mindset, with a willingness to learn, take feedback, and continuously improve
  • Comfortable working across different environments, tools, and domains
  • Alignment with a hybrid working model
  • A competitive compensation package, with twice-yearly salary increases and a guaranteed bonus
  • A range of benefits and perks, including gap cover, a petrol allowance after two years, and internal reward programmes to name a few
  • Exposure to real client work early in your career, solving meaningful problems in complex environments
  • Continuous learning and mentorship from experienced engineers and industry leaders
  • A clear growth path, with opportunities to develop your skills across data engineering, analytics, and consulting
  • A collaborative, high-performance culture where quality and craftsmanship matter
  • Flexibility through a hybrid working model that supports both in-office collaboration and focused remote work
  • Access to a wide range of technologies, tools, and industries, helping you build a well-rounded skill set
  • A supportive environment that prioritises your growth, wellbeing, and long-term career development

Junior Role

Starter level responsibilities and support expectations.

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

 Starter level responsibilities and support expectations. 

Junior Specifications

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How we work with Data

Cloud Providers
Azure
AWS
Google Cloud
Data Platforms
Microsoft Fabric
Databricks
Snowflake
AWS Redshift
BigQuery
Azure SQL / Synapse
Metadata & Governance
Microsoft Purview
AWS Glue Data Catalog
Unity Catalog

This isn’t exactly how every project looks, but it’s a good snapshot of the kind of tools we use and the type of work we typically do.

Quote Marks-1

What I value most is the autonomy. Once you've built trust, you earn the freedom and responsibility to solve real-world problems. The engagements are structured around genuine collaboration with clients, which ensures that you become part of their team.

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Barbara Bakker
Senior Data Solutions Engineer