At a Glance
- Tasks: Lead the design and development of data processing software for large-scale solutions.
- Company: Join Kainos, a forward-thinking tech company focused on impactful digital solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on creativity and continuous improvement.
- Why this job: Make a real difference by leading innovative projects in data engineering.
- Qualifications: Experience in leading teams and proficiency in Java, Scala, or Python required.
The predicted salary is between 70000 - 90000 £ per year.
As a Lead Data Engineer (Consultant) 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, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs.
Responsibilities
- Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution.
- Focusing on hands‑on design and development, using open source and commercial platforms.
- Defining and enforcing development best practice and coaching team members to ensure consistency.
- Working with project architects, taking responsibility for non‑functional needs of ETL/ELT data processing pipelines such as robustness and performance.
- Taking responsibility for standards and execution of unit and integration testing done within the team.
- Taking responsibility for software product due diligence and integration.
- Leading troubleshooting and tuning of activities.
- Working with Operations teams to ensure the application software is operationally ready.
- Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements
- Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys.
- Contributing to technical proposals as part of the sales process.
- Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development.
- You’ll also provide direction for your team as you solve problems together
Qualifications
- Minimum (essential) Requirements
- Experience of leading a team of engineers in the implementation of data‑intensive system components
- Experience of applying standards for design (patterns), development (style guides) and operational readiness (automation, deployment)
- Proficient software development experience in one of Java, Scala, or Python
- Software development experience with data‑processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools
- Expert in SQL or SQL extensions for analytical use case
- Expert understanding of distributed data stores and data processing frameworks
- Ability to simply and clearly communicate technical design both written and verbally
- Proficient in designing analytical and operational data models
- A keen interest in AI technologies
Desirable
- Comfortable with Data Warehouse methods and techniques
- Actively shares their thoughts and views on data practices
- AWS/Azure/GCP Certified in Data Services
- Expertise in continuous improvement and sharing input on data best practice
- Participation in development and/or technology communities
- Practical experience with AI technologies, tools, processes and delivery
Who You Are
Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives.
Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do.
We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience.
These values, applied collectively, help to produce an outstanding Kainos person, team and culture.
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Lead Data Engineer employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 Limelight Health!
✨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 Lead Data Engineer at Limelight Health.
✨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 Limelight Health.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Limelight Health, 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 Lead Data 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!
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 Limelight Health, 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 Limelight Health. 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 Limelight Health
✨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 Limelight Health!
✨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.
