Junior Data Engineer at Engaging Data

by Tyler Bodys | Aug 8, 2025 | Careers, News

Junior Data Engineer

FULL TIME | HYBRID

Apply Now

Want to apply? Send an email to careers@engagingdata.co.uk with an introduction and CV attached.

Please note: We can not support sponsorship for visa status. Candidates must be legally authorised to work in United Kingdom. No agencies.

Role Outline

The Junior Data Engineer at Engaging Data Limited supports the development, enhancement, and maintenance of data solutions used across internal and client-facing projects. This role is focused on building foundational coding skills, learning delivery best practices, and contributing to collaborative development teams. Working under the guidance of senior engineers, the Junior Data Engineer gains hands-on experience while ensuring data solutions are reliable, well-documented, and aligned with business and technical requirements.

Key Responsibilities

Development & Coding

Write clean, well-structured, and maintainable code for internal tools and client projects.
Contribute to the development of data pipelines, scripts, and integrations using Python/PSQL/TSQL/SQL and relevant tools/platforms.

Testing & Debugging

Assist in creating and running test cases to validate functionality and performance.
Debug and resolve issues in existing codebases with support from senior team members.

Documentation

Maintain technical & end user documentation to support code readability, maintainability, and future enhancements.
Contribute to internal knowledge repositories and project wikis.

Collaboration & Communication

Work closely with senior engineers, data consultants, and analysts to understand user needs and technical requirements.
Participate in code reviews, stand-ups, and planning sessions to ensure smooth collaboration and learning.

Learning & Growth

Continuously improve technical skills through training, peer mentoring, and practical application.
Stay updated on emerging data tools, script languages, and data engineering principles.

Skills

Coding Fundamentals: Solid grasp of core programming principles, control structures, and SQL/Python syntax.
Framework Familiarity: Exposure to frameworks such as data pipelines, ETL/ELT, data warehousing and data lakes.
Data Handling: Basic understanding of SQL, data manipulation, and unstructured/structured storage.
Database: Know how to use common databases like PostgreSQL or MySQL.
RDBMS: Basic experience with cloud services like AWS, Azure, or Google Cloud. Basic experience with on-premises services like PostgreSQL or MS SQL Server.
Problem Solving: Able to approach issues logically and troubleshoot basic errors.
Collaboration: Comfortable working in team environments and learning from others.
Communication: Clear, concise communicator with both technical and non-technical audiences.
Adaptability: Willingness and ability to learn quickly and adapt to new tools and methods.

Impact

Junior Data Engineers support the scalability, reliability, and success of both client and internal projects by contributing to code quality and delivery efficiency. Their work frees up senior development resources, ensures continuity across technical initiatives, and helps build a sustainable development capability within the business.

Do what is right: Delivers clean, reliable code that meets quality standards and contributes to secure, maintainable data solutions, ensuring the technical integrity of both internal and client-facing solutions.

Work together: Actively participates in team development activities such as code reviews, stand-ups, and planning sessions, supporting collaboration across technical and non-technical teams.

Keep learning: Demonstrates a growth mindset by embracing feedback, refining skills, and staying up to date with emerging technologies and best practices in data development.

Champion creative solutions: Contributes ideas and experimentation to solve coding challenges, bringing a fresh perspective to projects and helping optimise workflows and technical solutions.

Embrace change: Adapts quickly to new tools, processes, and project requirements, building flexibility and resilience while supporting the continuous evolution of Engaging Data’s technical capabilities.

How does your role contribute towards Engaging Data’s core services

The Junior Data Engineer helps deliver on Engaging Data’s core services—implementation, insight generation, and support—by building and maintaining data-driven software solutions. Whether developing internal tools, data solutions, or analytics platforms, this role ensures foundational coding work is done reliably and efficiently to support wider project success.

Please note:

We can not support sponsorship for visa status
Candidates must be legally authorised to work in United Kingdom
No agencies

Apply Now

Want to apply? Send an email to careers@engagingdata.co.uk with an introduction and CV attached.

Data Transformation vs. Data Migration: Which is Right for Your Business?

by Tyler Bodys | Apr 21, 2025 | Business Innovation, DataAutomation, Digital Transformation, Learn, News

Data Transformation vs. Data Migration: Which is Right For Your Business?

The High-Stakes Choice to Become a Data-Driven Organisation

If you’re leading a business wanting to become truly data-driven, you’re probably facing a pressing question: How do we modernise our data infrastructure without disrupting operations to become data-driven and drive innovation?

With AI, real-time analytics, and regulatory demands evolving at pace, the wrong approach to data modernisation and innovation can lead to inefficiencies, compliance risks, and wasted investment.

Yet, too often, we see businesses rush into a ‘lift-and-shit, migration or an overcomplicated transformation project without a clear business case.

So, which approach is right for your business?

Let’s get into it!

Learn more about how innovate your organisation using data initiatives.

Check out this blog post

Learn More

10 proven tips for optimising business innovation with data

The Fundamental Difference Between Data Migration and Data Transformation

Data Migration: Moving Data from One System to Another

What is it? The process of transferring data from one system to another with minimal structural changes.

Example: A Financial Services firm moving from an on-perm legacy database to a cloud-based infrastructure for better scalability.

Why business choose migration:

Cost effective compared to full-scale transformation.
Faster implementation with minimal business disruption.
Necessary for system upgrades or moving from outdated platforms.

Common Pitfall: Many businesses assume migration alone is enough.

But moving messy, unstructured data into a new system does not solve inefficiencies. It simply relocates the problem.

Data Transformation: Refining and Enhancing Data for Better Business Insights

What is it? Restructuring, cleansing, and optimising data to improve quality, usability, and decision-making.

Example: A Manufacturing company consolidating supply chain data across multiple sources to create a single source of truth for predictive analytics

Why businesses choose transformation:

Enables advanced analytics, AI, and automation.
Improves data quality, consistency, and accessibility.
Enhances regulatory compliance and reporting accuracy.

Common Pitfall: Some businesses over-engineer transformation projects, adding complexity without clear ROI.

Transformation should be driven by business needs, not just IT capabilities.

How to Determine Which One Your Business Needs

To make the right decision, ask yourself:

Are we moving to a new system due to outdated infrastructure or compliance risks? = Migration
Are we struggling with inconsistent, siloed, or poor-quality data that hinders decision-making = Transformation
Do we need to enhance AI, analytics, or automation capabilities? = Transformation
Do we have a short timeline and need minimal disruption? = Migration (but with strategic data governance.

The most effective businesses don’t choose just one. They combine both.

Planning on innovating your organisation using data-driven initiatives?

Download our Data Innovation Toolkit!

Common Mistakes That Lead to Costly Data Projects

For Financial Services: Ignoring regulatory compliance during migration, leads to fines and security risks.

For Manufactuing: Overlooking real-time data needs, causing inefficiencies in supply chain and production planning.

For Both: Assuming IT alone should drive the decision instead of aligning with business goals and ROI.

Additional Challenges:

Underestimating Data Complexity: Legacy systems often contain redundant, outdated, and conflicting data.
Lack of Stakeholder Buy-In: Transformation efforts fail when leadership, IT, and operations teams aren’t aligned.
Failure to Future-Proof: Short-term fixes may lead to long-term inefficiencies if scalability and adaptability aren’t considered.

The Smart Approach – A Hybrid Strategy

Many organisations find that neither migration nor transformation alone is enough

Instead, they require a hybrid approach that strategically balances both.

Migration ensures that data moves into modern, scalable environments, while transformation enhances its accuracy, usability, and strategic value.

By integrating both processes, businesses can unlock powerful insights, drive automation, and ensure compliance while maintaining operational stability.

How to Execute Successfully

Assess Current Data Health: Condust a full audit to identify gaps, inconsistencies, and compliance risks
Define Clear ROI and Business Outcomes: Set measurable goals to justify the investment.
Implement Phased Deployment: Minimise risk by gradually rolling out migration and transformation initiatives.
Partner with Experts Who Understand Business and Technical Strategy: A data consultancy like Engaging Data can guide you through the process (shameless promo, not sorry about it!)
Prioritise Security, Compliance, and Sustainability: Ensure all data initiatives align with regulatory and ESC requirements.

Learn how our clients successfully implemented a hybrid strategy.

Read out case studies!

Read our Case Studies

Final Words…

To summarise:

Data migration is essential for moving systems but doesn’t fix poor data quality.
Data transformation improves data usability, analytics, and complies by requires clear objectives.
A hybrid approach – combining migration and transformation – ensures maximum business value.
Avoid common pitfalls like overlooking compliance, failing to engage stakeholders, and underestimating data complexity.
Future-proofing your data strategy now prevents costly issues later.

Why Act Now?

Waiting means wasted resources, lost insights, and higher costs later.

A strategic approach to data will define your competitive advantage in 2025 and beyond!

Book a FREE 30-minute consultation call and take the first steps to innovation through data initiatives.

Book a FREE Consultation

Achieving Compliance with ISO 27001 Certification: What It Means for Our Clients

by Tyler Bodys | Jan 2, 2025 | Business Innovation, Learn, News

Achieving Compliance with ISO 27001 Certification: What It Means for Our Clients.

Oh wow!

We have reached a significant milestone, we have achieved our ISO 27001 Certification, the globally recognised standard for information security management systems (ISMS).

We also have our ISO 9001 Certification, if you want to check it out here.

Check it out! Click the button below!

Read the Full Blog Post

This achievement underscores our commitment to safeguarding your data and providing secure and reliable solutions for your business needs.

But why does it matter? How does it benefit you?

What is ISO 27001 Certification?

ISO 27001 is an internationally recognised standard that outlines the best practices for managing information security.

It provides a framework for identifying, managing, and mitigating risks related to sensitive data. Achieving this certification involves rigorous external audit to ensure compliance with a comprehensive set of requirements, including:

Risk Assessment: Identifying vulnerabilities and implementing measures to address.

Data Protection: Ensuring that sensitive client and company data remain confidential and secure.

Continuous Improvement: Regularly reviewing and enhancing information security measures to adapt to evolving.

This certification isn’t just a fancy badge – it’s proof that our information security practices meet the highest global standards.

What ISO 27001 Certification Means for Our Clients

For your business, trust and security and surely of great importance to you?

Our ISO 27001 certification brings tangible benefits to our clients, including:

Enhanced Data Security

Your data is at the heart of what we do. With ISO 27001 certification, you can be confident that we follow industry-leading practices to protect your information from breaches, cyber threats, and unauthorised access.

Regulatory Compliance

We understand the strict regulatory landscape that a lot of our clients operate within.

ISO 27001 compliance demonstrates that we align with key data protection regulations, including GDPR, ensuring your business can confidently meet its compliance requirements.

Operational Reliability

Our certification guarantees that we have a robust system and processes in place to manage risk, minimise downtime, and maintain operational continuity.

This translates into a smoother, more reliable service delivery for you.

Stronger Partnerships

Trust is the foundation of any successful partnership.

ISO 27001 certification reinforces our commitment to transparency, accountability, and maintaining long-term relationships with our clients.

Our Commitment to Your Success

At Engaging Data, we believe innovation and sustainability go hand-in-hand with security and reliability.

Achieving ISO 27001 certification is not the end of the journey – it’s a step forward in our mission to provide exceptional data services that empower and innovate your business.

Are you ready to experience the benefits of working with an ISO 27001-certified partner?

Schedule FREE 30-minute Consultation Call with us and learn how Engaging Data can help your business thrive securely and sustainably.

Book a FREE Consultation

How to Upgrade Legacy Systems Efficiently

by Tyler Bodys | Dec 2, 2024 | Digital Transformation, Learn, News

How to Upgrade Legacy Systems Efficiently

Legacy systems may have once been the backbone of your organisation, but as technology advances, these systems can become outdated and inefficient.

Modernising your infrastructure can offer a pathway to improve performance and reduce costs.

This blog post will explore the reasons to modernise, strategies to implement, and the benefits of upgrading to a more efficient system.

What is System Modernisation?

System modernisation is the process of updating outdated software and hardware to improve efficiency, performance, and compatibility with modern business needs. Over time, technology evolves, and what was once state-of-the-art can become a hindrance.

Legacy systems often lack the flexibility and speed of today’s business environment.

By modernising your systems, you ensure your business can leverage the latest innovations in technology to stay competitive and meet customer demands. Whether cloud migration, software updates, or integrating new digital tools, modernisation plays a crucial role in maintaining operational efficiency.

Why Modernise Legacy Systems?

Increase Efficiency and Performance

One of the primary reasons to modernise is to enhance the overall efficiency of your business operations.

Legacy systems can slow down processes, reduce productivity, and create bottlenecks.

By upgrading to more modern systems, you can streamline workflows, improve communication across departments, and enhance the speed of data processing.

Modern systems also allow for better integration of digital tools that can automate repetitive tasks, further boosting efficiency.

Reduce Operational Costs

Operating outdated systems often incurs higher maintenance costs due to the need for regular repairs, updates, and custom patches.

Modernising your systems reduces these ongoing expenses by offering more reliable and scalable solutions.

With fewer breakdowns and a more efficient infrastructure, you can allocate resources more effectively and focus on growth.

Additionally, modern systems often come with built-in energy-saving features that lower operational costs even further.

Key Strategies for Effective System Modernisation

Evaluate Current Infrastructure

Before diving into the modernisation process, it’s crucial to assess your current infrastructure.

Understanding which components are outdated and which still provide value will help you develop a cost-saving strategy.

An audit of your systems will identify any limitations or vulnerabilities, giving you a clear roadmap for necessary upgrades.

This evaluation can also uncover areas where you can optimise performance without a complete overhaul, saving both time and money.

break free from the legacy system shackles

Do you want a full Legacy System audit?

Well, fill out our Legacy System Review Form.

It only takes 5 minutes and could change your business for years to come!

Get Your FREE Legacy System Review

Invest in Scalable Technologies

One key to successful modernisation is choosing technologies that can scale with your business.

Rather than implementing short-term solutions that may soon need replacing, focus on investing in scalable software and hardware.

Cloud-based systems, for example, offer flexible scalability and lower upfront costs.

Scalability ensures your systems grow alongside your business needs, reducing the need for frequent upgrades.

Want more insight?

Download our Legacy System Modernisation Checklist!

Common Challenges and How to Overcome Them

Data Migration Risks

Data migration is one of the most critical and challenging aspects of system modernisation.

This risk of data loss, corruption, or prolonged downtime can make businesses hesitant to start the process.

To minimise risks, ensure proper backup systems are in place before beginning the migration.

Partnering with experienced professionals or using automated migration tools can also reduce the likelihood of errors, ensuring a smooth transition.

Integration with Existing Systems

Another common challenge is integrating new systems with your existing infrastructure.

Often, legacy systems have custom-built functionalities that aren’t easily compatible with modern solutions.

This can lead to downtime or the need for costly custom integrations.

To address this, consider the adoption of modular systems or APIs that allow for easier integration.

Working with an experienced IT Team can also help ensure a seamless connection between old and new systems.

Benefits of System Modernisation

Future-Proofing Your Business

Modernisation doesn’t just solve current inefficiencies; it also positions your business for future success!

By upgrading to new, more adaptable systems, you can better accommodate new technologies and market trends as they emerge.

Future-proofing through modernisation helps you stay competitive, ensuring that your business can meet evolving customer expectations and industry demands.

Enhanced Security Measures

Legacy systems are often more vulnerable to cyberattacks and data breaches due to outdated security features. Modernising your systems can significantly enhance your security posture by incorporating advanced security protocols, encryption, and monitoring tools.

These features help safeguard sensitive data and reduce the risk of cyber threats, offering peace of mind for both you and your customers.

Conclusion

System modernisation is a crucial investment for businesses aiming to increase efficiency, reduce costs, and secure a competitive edge.

By upgrading legacy systems, adopting scalable technologies, and addressing common challenges, your business can stay ahead in an ever-evolving digital landscape.

Start the modernisation process today to future-proof your business for long-term success.

Ready to transform your outdated systems and boost efficiency?

Schedule a call with our experts today to explore how modernisation can future-proof your business.

Let’s build a more streamlined, scalable infrastructure together!

Click below to get started!

Book a FREE Consultation

10 Tips for Optimising Your Legacy Systems

by Tyler Bodys | Oct 14, 2024 | Digital Transformation, Learn, Legacy Systems, News

How Can We Improve Our Legacy Systems?

Optimising your legacy systems is crucial to ensuring your business remains competitive.

A legacy system, while integral to many businesses’ operations, can quickly become a bottleneck if not properly managed.

Below are 10 practical tips to help you optimise your legacy system.

Assess the Current System

Before making any changes, start with a full assessment of your system’s performance, security vulnerabilities, and outdated components. A proper evaluation allows you to pinpoint which areas need immediate action.

We can help you with this – just fill out our Legacy System Review Form here.

Emphasise Security Patches and Updates

Legacy systems are particularly prone to security risks, especially as they become outdated. Regularly applying security patches is essential to safeguarding your system from cyber threats and ensuring compliance with industry standards like GDPR.

Adopt the Strangler Pattern

If a complete overhaul isn’t feasible, consider the strangler approach. This involves replacing old parts of the system piece by piece, maintaining operations while slowly modernising the infrastructure.

Migrate to The Cloud

Moving from on-premises to cloud solutions is a vital step in optimising legacy systems. Cloud migration allows you to scale effortlessly, reduce infrastructure costs, and benefit from modern technologies like artificial intelligence and machine learning.

Implement APIs for Seamless Integration

Legacy systems often struggle with integrating new applications. APIs provide a bridge between old and new systems, enabling smoother workflows and reducing the risk of data silos

Refactor or Rewrite Critical Components

Sometimes, the only way forward is to refactor or rewrite the most outdated parts of your legacy system. This ensures your system can handle modern demands and future technologies without causing interruptions to business processes.

Automate Testing Processes

Automated testing tools are essential for identifying and resolving system issues quickly. They help detect bugs or security vulnerabilities before they affect operations, minimising costly downtime.

Prioritise Compliance

Outdated systems not only comply with current regulatory standards. By modernising, you can ensure that your legacy systems adhere to required compliance frameworks, thus avoiding legal issues and fines.

Improving System Documentation

Clear, up-to-date documentation is critical to ensuring that your legacy systems can be maintained and updated efficiently. It helps your team manage changes and troubleshoot issues more effectively.

Future-Proof Your Systems

Adopt flexible, scalable technologies that ensure your systems can evolve with changing industry standards and customer demands. Modernising your legacy systems not only improves current operations but also positions your business for future success.

Conclusion

Optimising your legacy system is an investment in your business’ long-term success.

Whether through cloud migration, security updates, or system refactoring, taking action now will pay off in improved efficiency, lower costs, and greater agility in the future.

Ready to take the next step?

Fill out our Legacy System Review Form for a free consultation and discover how we can help you modernisation your systems effectively.

Take the Legacy System Review

Optimise Your Use of Data Lakes and Data Warehouses

by Tyler Bodys | Jul 29, 2024 | Data Lakes, Data Vault 2.0, DataAutomation, Digital Transformation, Legacy Systems, News

Optimise Your Use of Data Lakes and Data Warehouses

Managing vast amounts of information efficiently is crucial.

Optimising your data lake or data warehouse can lead to significant improvements in performance and cost savings.

But beyond these benefits, there is a growing need for corporate social responsibility (CSR) in IT operations. This means adopting practices that not only enhance efficiency but also reduce environmental impact.

This blog post explores how you can optimise your data solutions with CSR in mind, ensuring energy-efficient and sustainable data management.

Importance of Corporate Social Responsibility in Data Solutions

Corporate social responsibility in data management involves adopting practices that reduce environmental impact and promote sustainability.

As businesses grow increasingly reliant on data, the energy consumption of data centers and storage solutions has become a significant concern. By integrating CSR principles into your data management strategy, you not only contribute to environmental preservation but also improve your company’s reputation and operational efficiency.

Sustainable practices can lead to cost savings, enhance regulatory compliance, and build trust with stakeholders.

Strategies for Energy-Efficient Data Management

Reducing Energy Consumption in Data Storage

Energy consumption in data storage can be minimised through various methods.

Virtualisation helps consolidate workloads, reducing the need for physical servers and thus cutting down on energy usage.

Implementing cooling system optimisation and advanced power management techniques further enhances energy efficiency.

When purchasing hardware, consider the power consumption relative to performance.

Opt for solid-state storage, which is not only faster but also more energy-efficient compared to traditional hard drives.

Reducing network latency by strategically placing data closer to computer resources can also lower energy costs and improve processing speed.

Optimising Data Processing Practices

Data processing is a major contributor to energy consumption in IT operations. Adopting efficient processing practices can significantly reduce this impact.

Regularly review and refine your data processing workflows to eliminate unnecessary steps and optimise performance.

Implementing best practices such as data compression, deduplication, and efficient indexing can reduce the volume of data processed and stored, leading to energy savings.

Additionally, training your IT team to follow energy-efficient guidelines can help ensure that sustainability is a core aspect of data management strategy.

Choosing Green Cloud Services

Cloud services offer a scalable solution for data storage and processing, but they also consume significant energy.

When selecting a cloud provider, consider their commitment to green energy and sustainability. Look for providers that utilise renewable energy sources and have robust environmental policies. Assess their data centre efficiency metrics, such as Power Usage Effectiveness (PUE), to ensure they operate in an energy-efficient manner.

Choosing a green cloud service not only reduces your company’s carbon footprint but also supports the broader transition to sustainable energy practices in the tech industry.

Best Practices for Minimising Data Duplication

Data duplication is a common issue that leads to increased storage requirements and energy consumption.

Implementing best practices to minimise data duplication can enhance efficiency and sustainability.

Conduct regular audits to identify and eliminate redundant data.

Utilise data deduplication technologies that automatically detect and remove duplicates across your storage systems.

Additionally, consider adopting snapshot management techniques that reduce the need for full data backups, thereby saving storage space and energy.

By streamlining your data storage, you can achieve significant energy and cost savings.

Conclusion

Optimising your data lake or data warehouse with a focus on corporate social responsibility is not only beneficial for the environment but also for your business.

By reducing energy consumption, implementing sustainable practices, and choosing green cloud services, you can enhance the efficiency and sustainability of your data management operations.

These strategies contribute to cost savings, improved performance, and a positive corporate image.

Embrace these practices to ensure your data solutions are both efficient and environmentally responsible.

Schedule a Call Now.

Ready to optimise your data lake or data warehouse for maximum efficiency and sustainability?

Let’s take the next step together.

Schedule a call with our experts today to discover how you can implement energy-efficient practices and enhance your corporate social responsibility. Our team will provide personalized insights and solutions tailored to your business needs.

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