Hybrid Integration Developer: Data Pipelines & APIs in North East

Hybrid Integration Developer: Data Pipelines & APIs in North East

North East Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
TRIA

At a Glance

  • Tasks: Enhance integrations and develop data pipelines for seamless data flow.
  • Company: Join a forward-thinking organisation driving digital transformation in retail.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on technology and innovation.
  • Why this job: Be part of an innovative team making a real impact in the tech space.
  • Qualifications: Strong skills in SQL Server, SSIS, and ETL processes required.

The predicted salary is between 40000 - 50000 £ per year.

Tria is seeking an Integration Developer based in South Shields to drive digital transformation within a global retail brand. This hybrid role involves enhancing integrations and developing data pipelines to ensure seamless data flow across systems.

The successful candidate will have strong skills in SQL Server, SSIS, and ETL processes, providing a chance to work in a forward-thinking organisation with a focus on technology and innovation.

Hybrid Integration Developer: Data Pipelines & APIs in North East employer: TRIA

Tria is an excellent employer that champions innovation and technology, offering a dynamic work culture in South Shields. Employees benefit from a collaborative environment that fosters professional growth through continuous learning opportunities and the chance to contribute to impactful projects within a global retail brand. With a focus on digital transformation, Tria provides a unique platform for developers to thrive and make a meaningful difference.

TRIA

Contact Details:

TRIA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Integration Developer: Data Pipelines & APIs in North East

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TRIA!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Integration Developer: Data Pipelines & APIs at TRIA.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TRIA.

Apply Directly through Our Website

When you find a suitable opening like Hybrid Integration Developer: Data Pipelines & APIs at TRIA, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid Integration Developer: Data Pipelines & APIs in North East

SQL Server
SSIS
ETL Processes
Data Integration
Data Pipeline Development
Digital Transformation
Problem-Solving Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at TRIA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TRIA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at TRIA

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TRIA!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.