Job Categories: Data Engineer
Job Type : Full Time | Hybrid | Permanent
Job Location : Dartford, Kent, UK
Do you strive to make a difference? Goaco is looking to build a team to continue solving problems using software and technology for our clients. We are developers at heart – and by the mind too. We thrive on challenges and live for logical thinking. Formed over a decade ago, we have built on our successes, all of whom have benefitted from their level-headed software solutions. The team is all like-minded individuals, with a drive to succeed in their own fields.
ABOUT US
Goaco is an award-winning global consultancy specialising in delivering secure, user-centric, and innovative digital solutions for public and private sector organisations. Established in 2010 and headquartered in the UK, Goaco has expanded its presence with offices in the UK, UAE and Saudi Arabia, gaining recognition as a trusted name in digital transformation and cyber security. With over 100 subject-matter experts supported by a wider network of 16,000+ associates, Goaco is committed to co-creating scalable, secure, and tailored solutions. The company plays a pivotal role in enhancing national security systems, modernising public services, and streamlining processes, all while emphasising purposeful innovation and impactful outcomes.
ROLE OBJECTIVE
As part of our continued UK growth, we are looking for a Data Engineer to join our delivery team on a permanent basis.
We are looking for a Data Engineer with strong data architecture and integration experience to help design, review and improve data platforms for our clients.
This role requires someone who can look at data holistically across systems, reviewing data architecture, data flows and data mappings to ensure data is structured, integrated and used effectively across the organisation.
You will work closely with architects, developers and client stakeholders to assess existing environments, identify improvements and help implement modern, scalable data solutions.
The role is hybrid, with remote working as standard and occasional on-site work in Kent depending on project requirements.
Key Responsibilities
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Review and assess existing data architectures and data platforms
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Analyse data flows, integrations and system dependencies
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Review and improve data mapping across systems and applications
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Design and implement scalable data pipelines and data integration solutions
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Support the development of data models and modern data platforms
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Ensure data structures support operational, reporting and analytical needs
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Identify opportunities to improve data quality, governance and consistency
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Support integration between enterprise systems, cloud platforms and APIs
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Work collaboratively with architects, engineers and client stakeholders
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Contribute to technical documentation, standards and best practices
Required Skills & Experience
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Strong experience in data engineering, data architecture or data integration
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Experience reviewing data architecture across multiple systems
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Strong understanding of data mapping, transformation and integration
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Experience building or maintaining ETL / ELT data pipelines
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Strong SQL and data modelling skills
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Experience working with cloud platforms such as Microsoft Azure or AWS
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Understanding of enterprise system integration and API-based data services
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Ability to analyse systems and take a holistic view of organisational data
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Comfortable working in client-facing or consulting environments
Desirable Technologies
Experience with some of the following technologies is beneficial:
Cloud & Data Platforms
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Microsoft Azure Data Factory
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Azure Synapse Analytics
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Azure Databricks
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Microsoft Fabric
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AWS data services such as Glue, Redshift, S3 or Lambda
Development & Integration
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.NET / C# development for integrations and data services
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Experience building APIs and integration services
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Data transformation and orchestration tools
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Basic Python knowledge (desirable but not essential)
Analytics & Reporting
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Power BI
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Enterprise analytics or reporting platforms
Desirable Skills – AI & Advanced Data
We are particularly interested in candidates who have exposure to:
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Preparing data platforms for AI or advanced analytics
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Supporting AI or machine learning data pipelines
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Experience with Azure AI services or AI-enabled data platforms
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Working with large-scale data platforms or lakehouse architectures
BENEFITS*
We prioritise employee well-being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth.
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Competitive Salary: Salary depending on experience and background.
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Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts.
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Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings.
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Education Benefits: Learning Courses, Business Skills Training.
- Offered only to employees based in the UK.
- Unfortunately, we aren’t able to offer sponsorship for this role.
