At a Glance
- Tasks: Design and build data pipelines that connect diverse systems, including LLMs.
- Company: Join Halliburton, a leading provider in the global energy industry.
- Benefits: Hybrid work model, career development opportunities, and a supportive team environment.
- Other info: Work in a collaborative team and enjoy excellent growth potential.
- Why this job: Make an impact by innovating data integration solutions in a dynamic industry.
- Qualifications: Experience with ETL/ELT tools and a passion for data integration.
The predicted salary is between 63000 - 77000 £ per year.
Halliburton is an Equal Opportunity Employer. They are looking for the right people — people who want to innovate, achieve, grow and lead. They attract and retain the best talent by investing in their employees and empowering them to develop themselves and their careers. Experience the challenges, rewards, and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
They are seeking a skilled and proactive Data Integration Engineer to join the Neftex Technical Services team. Reporting to the Team Lead, the Data Integration Engineer will be responsible for designing, building, and maintaining robust data pipelines and integration frameworks that connect diverse systems including LLMs and a proprietary Data Integration solution. Successful candidates will be evidently enthusiastic and motivated people who they can train up in their processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups.
Please note, although this is a hybrid position, you will be required to attend their Milton Park, Abingdon, Oxfordshire office a minimum of three days per week.
Key Responsibilities:- Design and implement scalable data integration solutions using ETL/ELT tools and APIs
- Develop and maintain data pipelines that include Large Language Models (LLMs)
- Build solutions that include cloud and on-premises environments
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements
- Integrate data from various sources including databases, SaaS platforms, APIs, and flat files
- Monitor and optimize data flows for performance, reliability, and cost-efficiency
- Ensure data quality, consistency, and governance across integrated systems
- Automate data workflows and support real-time data streaming
- Document integration processes and maintain technical specifications
Data Integration Engineer employer: Milton Park
Nexeon is an exceptional employer, offering a dynamic work environment in the heart of Oxfordshire where innovation meets sustainability. Employees benefit from a collaborative culture that encourages professional growth and skill development, particularly in cutting-edge battery technology that has the potential to transform lives globally. With a strong commitment to health and safety, Nexeon ensures that its team members thrive in a supportive atmosphere while tackling some of the most pressing technological challenges of our time.
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We think this is how you could land Data Integration Engineer
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We think you need these skills to ace Data Integration Engineer
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!
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Craft a Tailored Cover Letter:For a full-time role at Milton Park, 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 Milton Park. 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 Milton Park
✨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!
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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
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✨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.
