At a Glance
- Tasks: Design and develop data pipelines and scalable applications using Python.
- Company: Join a fast-paced tech team focused on data and AI solutions.
- Benefits: Competitive day rate, exposure to modern cloud technologies, and flexible work options.
- Other info: Great opportunity for career growth and collaboration with talented professionals.
- Why this job: Make an impact by working on innovative data solutions in a dynamic environment.
- Qualifications: 6+ years in data engineering, strong Python skills, and cloud experience.
The predicted salary is between 60750 - 74250 £ per year.
We’re looking for a Senior Data Engineer to join a fast-paced technology team working across data, analytics and emerging AI solutions. This is a 12-month day rate contract, offering the opportunity to work on scalable data solutions while getting exposure to modern cloud and AI technologies.
Your Responsibilities
- Design and develop reliable data pipelines for large and complex datasets
- Build solutions to extract, transform and process data from a range of internal and external sources
- Develop scalable applications and data processing solutions using Python
- Work with cloud-based technologies, particularly AWS, to support data and analytics workloads
- Help take ideas from initial concepts and prototypes through to production
- Work closely with developers, data specialists and business stakeholders to deliver technical solutions
- Identify opportunities to improve existing systems, processes and data workflows
- Support production environments and participate in an on-call rotation where required
Your Experience
- 6+ years’ experience in software, data engineering or enterprise development
- Strong commercial experience with Python, with Java or C# also considered
- Solid understanding of relational databases and experience working with technologies such as Oracle, Snowflake or similar
- Strong understanding of data pipelines, ETL and working with large datasets
- Hands-on experience with AWS or other cloud environments
- Good understanding of object-oriented programming and core data structures
- Experience working with tools such as Pandas and NumPy would be beneficial
- Comfortable working with REST APIs, scripting and Linux/Windows environments
- Experience with CI/CD, cloud migration or scalable data processing would be advantageous
- A practical, problem-solving mindset with the ability to take ownership and deliver in a fast-moving environment
If interested, please click apply or send your CV to (url removed).
Data Engineer (Python focused) in Galway employer: The Recruitment Company
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StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Python focused) in Galway
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like The Recruitment Company before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like The Recruitment Company.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like The Recruitment Company.
We think you need these skills to ace Data Engineer (Python focused) in Galway
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at The Recruitment Company, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to The Recruitment Company, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab The Recruitment Company’s attention and show the tangible impact of your work.
How to prepare for a job interview at The Recruitment Company
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at The Recruitment Company.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at The Recruitment Company.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at The Recruitment Company.
