At a Glance
- Tasks: Lead a team to design and develop impactful data solutions at scale.
- Company: High growth digital technology consultancy with 30 years of experience.
- Benefits: Competitive salary, hybrid working, and strong career development opportunities.
- Other info: Join a people-first culture that values your ideas and supports your growth.
- Why this job: Make a real-world impact through innovative data projects and leadership.
- Qualifications: Experience in leading teams and expertise in Palantir, Java, Scala, or Python.
The predicted salary is between 95000 - 105000 £ per year.
Lead Data Engineer role at a high growth digital technology consultancy with a 30 year track record delivering for government, NHS and enterprise clients. Hands-on technical leadership with a small team to coach and develop.
Why This Organisation
Our client is a high growth digital technology consultancy with three decades of experience delivering transformational projects for some of the most impactful organisations in the UK - government, NHS and a wide range of enterprise clients. They are problem solvers and collaborators driven by a genuine mission to create real impact through technology, and their people-first culture means your ideas are valued, your growth is supported and your contributions genuinely matter. The scale of the work here is significant. You will be designing and developing data solutions that handle data at genuine citizen scale, working with cutting edge platforms across Palantir, Databricks and major cloud providers. The culture is inclusive, ambitious and grounded in clear values - determined, honest, respectful, creative and cooperative.
If you are a lead level data engineer who wants their work to have real world impact, this is the kind of organisation that delivers that.
The Role and What It Can Do For Your Career
This is a Lead Data Engineer position where you will take responsibility for designing and developing data processing and persistence software components for solutions that handle data at scale. You will provide strong development leadership for team members, take ownership of the quality of the codebase, and work with project architects on the non-functional requirements of ETL and ELT data processing pipelines. You will also manage, coach and develop a small number of staff while contributing to technical proposals as part of the sales process. The career value is the breadth of the domain and the seniority of the scope. You will be working on transformational public sector and enterprise data projects - the kind of engagements that shape careers - with the technical ownership and team leadership that comes with a lead level appointment. The opportunity to contribute to commercial proposals and client relationships also adds a dimension most purely technical roles do not offer.
Key Responsibilities
- Take responsibility for the development of whole components or subsystems including design, code, test and defect resolution.
- Focus on hands-on design and development using open source and commercial platforms.
- Define and enforce development best practice, coaching team members to ensure consistency.
- Work with project architects to take responsibility for non-functional needs of ETL and ELT data processing pipelines including robustness and performance.
- Take responsibility for standards and execution of unit and integration testing within the team.
- Lead troubleshooting and performance tuning activities.
- Work with Operations, Security Architects and accreditors to ensure operational readiness and compliance.
- Advise customers, managers and team members on estimated effort and technical implications of user stories.
- Contribute to technical proposals as part of the sales process.
- Manage, coach and develop a small number of staff with a focus on performance and career development.
What You Will Need
Essential:
- Experience leading a team of engineers in the implementation of data intensive system components.
- Strong commercial experience working with Palantir.
- Proficient software development experience in Java, Scala or Python.
- Software development experience with data processing platforms from AWS, Azure, GCP or Databricks.
- Expert SQL skills or SQL extensions for analytical use cases.
- Expert understanding of distributed data stores and data processing frameworks.
- Proficient in designing analytical and operational data models.
- Experience applying standards for design patterns, development style guides and operational readiness.
- Strong communication skills - able to explain technical design clearly in writing and verbally.
Nice to Have:
- Comfortable with data warehouse methods and techniques.
- AWS, Azure or GCP certification in data services.
- Active participation in development or technology communities.
- Expertise in continuous improvement and sharing input on data best practice.
Why You Should Apply Now
Lead Data Engineer roles at this salary, with Palantir expertise, citizen-scale project experience and a genuine team leadership remit, are rare in Northern Ireland. Our client has a 30 year track record, a strong pipeline of transformational work and a culture that genuinely invests in its people. The work has real world impact. The career trajectory is clear. Salary £95,000 - £105,000. Hybrid working.
Lead Data Engineer employer: Ocho People
As a leading IT Managed Services provider in Northern Ireland, our company offers an exciting opportunity for an IT Field Service Engineer to thrive in a dynamic field-based role. We pride ourselves on fostering a supportive work culture that values flexibility, teamwork, and professional growth, ensuring our employees are equipped with the skills and resources they need to succeed. With competitive salaries, performance bonuses, and the chance to work across diverse client sites, we provide a rewarding environment for those looking to make a meaningful impact in the tech industry.
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 Ocho People!
✨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 Ocho People.
✨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 Ocho People.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Ocho People, 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 Ocho People, 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 Ocho People. 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 Ocho People
✨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 Ocho People!
✨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.
