You Can Learn Python, But You Can’t Code Character: The Growing Demand for Soft Skills in Data Engineering

In the fast-evolving world of data engineering, technical skills have always been fundamental. Languages like Python, SQL, and frameworks such as Apache Kafka and Hadoop are essential for building the data infrastructures that drive business decisions. However, as the tech industry matures, there is a growing realisation that technical expertise alone won’t guarantee success. Today, soft skills , the human side of professional development, are becoming just as crucial in the success of data engineering roles.

At Forward Role, we’re seeing firsthand the transformation taking place in the data sector. While coding proficiency and pipeline expertise are vital, the ability to communicate, collaborate, and lead effectively is what truly sets professionals apart. After all, you can learn Python, but you can’t code character.

Why Soft Skills Matter in Data Engineering

Traditionally, data engineers have been the architects behind complex data ecosystems, building systems that allow organisations to store, process, and analyse vast amounts of data. But as data grows in importance, the expectations of data engineers have expanded. Today, data professionals are no longer confined to technical teams...they are collaborating across departments, engaging with non-technical stakeholders, and shaping data strategies that align with broader business goals.

Here’s why soft skills are becoming more critical than ever:

1. Cross-Department Collaboration

Data engineers are no longer working in isolation. They now frequently collaborate with product managers, marketing teams, and executive leadership. The ability to communicate complex technical concepts to non-technical stakeholders is essential. Soft skills such as active listening, empathy, and clear communication help data engineers bridge the gap between technical and business teams, ensuring everyone is aligned.

2. Problem-Solving and Adaptability

Data engineering projects often present unforeseen challenges—whether it’s dealing with data quality issues, evolving project scopes, or integrating different systems. The best data engineers don’t just rely on their technical know-how to solve these problems. They also need adaptability, critical thinking, and emotional intelligence to manage stress, stay focused, and make informed decisions under pressure.

3. Leadership and Influence

As data engineers gain experience, they often step into leadership roles. Whether guiding a team, mentoring peers, or influencing strategic decisions, leadership becomes a key component of success. Strong leadership—built on charisma, the ability to inspire, and excellent communication—can drive initiatives and gain buy-in from key stakeholders.

4. Client and Stakeholder Engagement

Increasingly, data engineers are asked to interact with clients and stakeholders to understand their data needs and deliver solutions that align with business goals. Whether customising data platforms or presenting insights to senior management, the ability to build relationships and persuade others is vital for success.

The Most Important Soft Skills for Data Engineers

While technical skills are what initially get you hired, soft skills are what help you progress in your career. Here are some of the key soft skills that can elevate your career in data engineering:

Communication: The ability to explain complex technical issues in simple, accessible terms is essential. This includes both written communication for documentation and reporting, as well as verbal communication for meetings and presentations.

Collaboration: Data engineering is rarely a solo job. You’ll work closely with data scientists, analysts, and business leaders. Being a team player and open to feedback is essential for success.

Emotional Intelligence (EQ): The ability to manage emotions and navigate team dynamics is critical. EQ helps data engineers maintain healthy relationships and stay composed during high-stress situations.

Adaptability: With the rapid pace of technological change, data engineers need to be open to learning new tools and approaches. The ability to adjust quickly and effectively is key.

Leadership and Influence: Even if you don’t hold a formal leadership title, being able to influence decisions and guide others will set you apart. Strong leaders inspire innovation and encourage trust, motivating their teams to deliver exceptional results.

How Can You Improve Your Soft Skills?

At Forward Role, we don’t just focus on technical expertise, we also evaluate how well candidates work with teams and contribute to overall business strategies. Whether you’re looking for a new role or aiming to progress in your current one, improving your soft skills will be a critical factor in your success.

Here are a few ways to develop your soft skills:

1. Seek Feedback Regularly: One of the best ways to improve is by asking for feedback from colleagues and mentors. Get insights into your communication, collaboration, and leadership strengths and areas for improvement.

2. Practice Active Listening: Don’t just listen to respond—listen to understand. Active listening will help you connect with colleagues, clients, and stakeholders, ensuring you’re addressing the right issues.

3. Expand Your Emotional Intelligence: Take time to reflect on your emotional responses in different situations. Techniques like mindfulness or journaling can improve your EQ and help you manage emotions more effectively.

4. Work on Communication Skills: Practice breaking down complex technical concepts into simple language. Attend public speaking workshops or participate in meetups to build confidence.

5. Take on Leadership Opportunities: Whether it’s volunteering to lead small projects or mentoring junior colleagues, leadership skills can be developed. Even informal leadership roles will enhance your professional profile.

The Future of Data Engineering: A Balance of Hard and Soft Skills

As the role of data engineers continues to evolve, the demand for skilled professionals will only grow. However, the most successful engineers will be those who combine technical expertise with strong soft skills. Whether it’s collaborating across departments, explaining data insights, or leading projects, these interpersonal skills are just as vital as any coding language or tool.

At Forward Role, we focus on finding candidates who not only excel in technical areas but also possess the character and interpersonal skills that help them thrive in a collaborative, fast-paced environment. Data engineering is no longer just about the tools you use—it’s about how you work with others, adapt to change, and lead with impact.

If you’re looking to take your career to the next level or hire top-tier data professionals, remember: you can learn Python, but you can’t code character. At Forward Role, we’re here to help you navigate both the technical and human sides of the data world.

Looking for your next role in data engineering? Or perhaps you need expert data professionals to join your team? Get in touch with us today, and let’s discuss how we can help you succeed in this dynamic and rapidly evolving industry.

Alicia Walsh is a specialist Data & IT Recruitment Consultant at Forward Role