Integration Engineer

Blackhall
3 weeks ago
Create job alert

Software Integration Engineer

Hillington – Hybrid (2 days WFH, 3 in office)

£45K DOE

Be-IT are delighted to be recruiting for their Fintech client on the lookout for a Software Integration Engineer.  As an Integration Engineer, you will be responsible for creating, implementing, and maintaining cutting-edge solutions for clients in the electronic trading industry.

Key Responsibilities:

Lead customer-facing implementation projects, ensuring their success.

Work on complex, high-volume, real-time systems and application integration projects for financial services clients.

Design innovative solutions to meet emerging business needs.

Contribute to best practices evolution.

Perform custom integration tasks.

Coordinate with the software development team for bug fixes and enhancements.

Required Experience

3+ years of experience in Software Delivery or Integration Engineering.

Strong technical problem-solving skills.

Organised, independent thinker who proactively seeks help to maximize efficiency.

Experience with Linux, Bash, and scripting.

Familiarity with network technologies, TCP.

Strong interpersonal and communication skills.

Extra Brownie Points for:

Experience with Java and Python (coding or deployment).

Familiarity with network tap/span/aggregation, Wireshark/tcpdump/BPF.

Integration experience with Kafka, Keycloak, SSO, WebAuth.

Experience with Grafana/data visualization.

Database experience.

Knowledge of wire protocols.

What’s in it for you?

Salary of up to £45,000

Hybrid Working – 2 days from home

EV scheme

Training & certifications

Share Options & Bonus schemes

Private Healthcare

Contact Zoe Calder for more information – (phone number removed)

Related Jobs

View all jobs

Low Observable Design & Integration Engineer (Lead or Senior)

Data Engineer

Microsoft Purview Implementation Engineer

Data Engineer

Software Engineering Manager

AI Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.