At a Glance
- Tasks: Deliver tailored tech solutions and support data management for clients.
- Company: Join a leading global provider in financial services technology.
- Benefits: Enjoy private healthcare, pension, and a supportive work environment.
- Other info: Dynamic projects with opportunities for innovation and professional growth.
- Why this job: Kickstart your tech career and make an impact in the data-driven world.
- Qualifications: Bachelor's or master's in a technical field; 0-2 years experience preferred.
The predicted salary is between 60000 - 80000 £ per year.
First Derivative is driven by people, data, and technology, unlocking the value of insight, hindsight, and foresight to drive organizations forward. Counting many of the world's leading investment banks as clients, we help our clients navigate the data-driven, digital revolution that is transforming the financial services sector. Our global teams span across 15 offices serving clients across EMEA, North America and APAC.
As an EPAM Systems, Inc. (NYSE: EPAM) company, a leading global provider of digital platform engineering and development services, we deliver advanced financial services solutions by empowering operational insights, driving innovation, and enabling more effective risk management in an increasingly data-centric world. Together with EPAM, we combine deep industry expertise with cutting-edge technology to help clients stay ahead in a rapidly evolving financial landscape, offering comprehensive solutions that drive business transformation and sustainable growth.
Does the world of data excite you? Look no further. Graduate Engineers will see themselves helping our clients to navigate the data-driven, digital revolution that is transforming the financial services sector. You’ll be building your technical expertise from the outset, developing tailored solutions for our clients in a number of areas. This role is suited to undergraduate/master's graduates who are keen to specialise in a technical career path and build their data and technology skills.
Project exposure:
- Technical Business Analysis
- Systems and Application Support
- Software Testing
- Data Engineering
- Data Management
- Cloud Computing
We sincerely thank all applicants for their interest. Please note that, due to the volume of applications received, only those shortlisted for further consideration will be contacted.
Responsibilities:
- Deliver tailored technical solutions to meet client-specific requirements
- Support implementation of data management, data engineering, and cloud computing solutions
- Collaborate with cross-functional teams to ensure project success and quality outcomes
- Conduct technical business analysis to identify opportunities for process optimization
- Test and troubleshoot software systems to ensure alignment with client expectations
Requirements:
- Bachelor's or master's degree in a relevant technical field
- 0–2 years of experience with data engineering, cloud computing, or software testing
- Competency in communication, teamwork, and adaptability for dynamic work environments
- Familiarity with Java, Python, or similar programming languages
- Capability to build a technical career path with a focus on innovation and learning
We offer:
- Private Healthcare Package
- Pension
- Employee Assistance Programme
- Enhanced Maternity policy
- Group Life Protection Benefit
- Give as You Earn
- Cycle to Work Scheme
- Employee Referral Bonus Scheme
- Diversity Networks
- Access to a range of skills and certifications
Graduate Engineer in Newry employer: EPAM Systems, Inc.
First Derivative is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive training and development opportunities, alongside a competitive benefits package including private healthcare and a pension scheme. Located in a vibrant environment, our teams are empowered to navigate the exciting world of data and technology, making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Engineer in Newry
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Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through EPAM Systems, Inc.’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Engineer in Newry
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at EPAM Systems, Inc., don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at EPAM Systems, Inc. aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at EPAM Systems, Inc.
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
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