At a Glance
- Tasks: Design and develop data processing software for large-scale solutions in a collaborative agile team.
- Company: Join Kainos, a people-first tech company focused on innovation and impact.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal and professional growth.
- Other info: Embrace diversity and enjoy a supportive environment tailored to your unique journey.
- Why this job: Make a real difference with cutting-edge technology while working with a diverse team.
- Qualifications: Strong experience in Java, Scala, or Python, and familiarity with big data technologies.
The predicted salary is between 60000 - 80000 £ per year.
Join Kainos and shape the future. At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Main Purpose of the Role & Responsibilities in the Business
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.
Your Responsibilities Will Include:
- 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.
- Leading 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 (essential) 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.
- A 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.
Senior Data Engineer in Birmingham employer: Jentic Technology Limited
At Kainos, we pride ourselves on fostering a people-first culture that champions innovation and collaboration. As a Senior Data Engineer, you will not only contribute to cutting-edge projects but also benefit from a supportive environment that prioritises your professional growth and values your unique ideas. With a commitment to diversity and inclusion, Kainos offers a dynamic workplace where your contributions can truly make a difference in shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Birmingham
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We think you need these skills to ace Senior Data Engineer in Birmingham
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 Jentic Technology Limited, 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 Jentic Technology Limited. 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 Jentic Technology Limited
✨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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✨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.
