At a Glance
- Tasks: Lead the delivery of innovative data solutions and manage cross-team collaborations.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and teamwork.
- Why this job: Make a significant impact by shaping data strategies and driving business success.
- Qualifications: Experience in data engineering and strong leadership skills required.
The predicted salary is between 75000 - 90000 £ per year.
A new data lake solution is being implemented and the HR Data Delivery Lead will be responsible for end-to-end delivery of data products, pipelines, and reporting solutions across multiple teams. This role will be accountable for connecting data from the new Oracle HCM Cloud to the new AWS Snowflake solution and unifying data layer between legacy and new HRIS system feed to data warehouse. The role ensures high-quality, timely, and governed delivery of data initiatives, working across engineering, analytics, and business stakeholders. You will lead delivery planning, manage dependencies, and ensure alignment between technical teams and business priorities, with a strong focus on delivery practices and data governance.
Key Responsibilities
- Delivery Leadership
- Lead end-to-end delivery of data initiatives (ETL/ELT pipelines, data models, dashboards, reporting products)
- Own delivery plans, milestones, RAID logs, and dependencies across multiple squads
- Ensure on-time, in-scope delivery of data products aligned to business priorities
- Stakeholder Management
- Act as primary interface between technical teams and business stakeholders
- Translate business requirements into actionable delivery plans
- Manage expectations across senior stakeholders, product owners, and engineering teams
- Governance
Data Engineering Team Leader employer: Talent Zone ltd
As a leading employer in the data engineering sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Located in a vibrant area, we offer competitive benefits, continuous professional development opportunities, and a commitment to work-life balance, making us an ideal choice for those seeking meaningful and rewarding careers in data delivery leadership.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Team Leader
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We think you need these skills to ace Data Engineering Team Leader
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 Talent Zone ltd, 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 Talent Zone ltd. 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 Talent Zone ltd
✨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 Talent Zone ltd!
✨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.
