At a Glance
- Tasks: Design and develop large-scale data processing software in agile teams.
- Company: Join Kainos, a diverse and inclusive tech company.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Embrace diversity and enjoy a supportive work environment.
- Why this job: Make an impact with cutting-edge data technologies and innovative solutions.
- Qualifications: Strong experience in Java, Scala, or Python and data-processing platforms.
The predicted salary is between 60000 - 80000 £ per year.
Main Purpose & Responsibilities
As a Senior Data Engineer (Senior Associate) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments.
Responsibilities
- Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.
- Working with Architects and Lead Engineers to ensure the software supports non-functional needs.
- Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high.
- Leads by example in code quality.
- Working with operations teams to ensure operational readiness.
- Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.
- Coaching and mentoring team members.
Minimum Requirements
- Strong software development experience in one of Java, Scala, or Python.
- Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
- Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment.
- Proficient in SQL and SQL extensions for analytical queries.
- Solid understanding of ETL/ELT data processing pipelines and design patterns.
- Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats.
- Able to write quality, testable code and has experience of automated testing.
- Experience with Continuous Integration and Continuous Deployment techniques.
- Keen interest in AI Technologies.
Desirable Requirements
- Experience of performance tuning.
- Experience of data visualisation and complex data transformations.
- Experience with streaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products.
- Expertise in continuous improvement and sharing input on data best practice.
- Practical experience with AI technologies, tools, processes and delivery.
Embracing our differences
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Senior Data Engineer in Belfast employer: hackajob
Kainos is an exceptional employer that fosters a collaborative and inclusive work culture, where innovation thrives and employees are empowered to grow. As a Senior Data Engineer, you will benefit from continuous learning opportunities, mentorship, and the chance to work with cutting-edge technologies in a dynamic environment. Located in a vibrant area, Kainos offers a supportive atmosphere that values diversity and encourages every team member to contribute their unique perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Belfast
✨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 hackajob!
✨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 Senior Data Engineer at hackajob.
✨Leverage Professional Networks
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 hackajob.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at hackajob, 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 Senior Data Engineer in Belfast
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 hackajob, 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 hackajob. 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 hackajob
✨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 hackajob!
✨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.
