At a Glance
- Tasks: Lead a team to build and optimise data pipelines for enterprise reporting.
- Company: Join Valpak, the UK's leader in environmental compliance and sustainability.
- Benefits: Enjoy 25 days leave, hybrid working, and a range of health benefits.
- Other info: Dynamic role with excellent career growth and a supportive work environment.
- Why this job: Make a real impact on sustainability while developing your data management skills.
- Qualifications: Management experience and strong analytical skills required.
The predicted salary is between 50000 - 65000 £ per year.
As the UKs leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world.
Solving increasingly complex environmental regulatory challenges using data, expert local knowledge, and through leadership to drive business accountability across the globe.
We believe in promoting a supportive environment for our colleagues , delivering exceptional service to our customers , contributing to the community , and working towards a more sustainable environment .
About the role As the Data Pipeline Manager, you will lead a team responsible for building and maintaining scalable, reliable data pipelines that support enterprise reporting and analytics.
You will oversee the development and optimisation of Talend-based data workflows, ensuring high data quality and availability across systems such as Qlik and our central databases.
Collaborating with data stewards, analysts, and support teams, you will guide the implementation of best practices in data integration, transformation, and validation.
This role is critical in ensuring the stability and performance of data operations that underpin business insights and application functionality.
The Valpak Data Insights (VDI) department regularly receive data files from their customers systems with regards to Product and transactional data.
This data is transformed and loaded into our database using an inhouse built application.
VDI will be migrating to the Qlik Talend ETL software on the customer files to load data into our databases.
Responsibilities : Liaise with VDI and IT to allow the smooth transition of data through Qlik Talend Put a structure in place to create an environment for Qlik Talend and Git Hub to allow easy development of pipelines Ensure that Qlik Talend Developers are allocated suitable well-defined requirements.
Generate and consistently improve Qlik Talend pipelines Create and maintain pipelines for each customers data.
Create a reusable toolkit of code for validation and transformations that can be used by other customers Generate automated validation checks on the received data so that it can be handled more efficiently before loading into the database.
Become an expert in using the Qlik Talend Studio software so that any data transformations requested by the business can be performed.
Use Java code to perform advanced manipulation of the data Integrate Apis into the Talend Studio Keep up to date with improvements in the Qlik Talend Studio to improve data handling.
Ensure standards are maintained Make sure that data is handled correctly by Qlik Talend and that poor data is not loaded into the Database.
Implement Qlik Talend with Data Streams Liaise with Account Managers to make sure that pipelines can process the data received from Customers Liaise with business to understand customer requirements, and to keep the business informed of pipeline progress.
Provide feedback to users about the quality of the customers data.
Establish and maintain a data stewardship model that works for the operational team What we need from you Management experience Excellent written and verbal communication skills Great attention to detail Excellent organisational skills.
Strong analytical and problem-solving abilities Experience using Microsoft packages, including Excel Knowledge of ETL tools and data pipelines, SQL, Java and Git Hub is required Applicants should be educated to degree level or possess solid work experience in related field.
What we offer Dual Location / Hybrid worker Status Participation in our annual Incentive Plan (VIP)25 days annual leave plus bank holidays, volunteering day and your birthday off!Option to buy and sell up to 9 days annual leave Access to voluntary benefits including private medical insurance, cycle to work scheme, and subsidised gym membership Automatic inclusion in Life Assurance, Critical Illness and Disability Income protection schemes Pension scheme up to 8% employer contribution Access to reward & discount platform Wellbeing initiatives TPBN1_UKTJ
Operations and Data Manager in London employer: Valpak Limited
Valpak Limited is an excellent employer, offering a supportive work culture that prioritises employee well-being and professional growth. Located in the picturesque Stratford-upon-Avon, employees benefit from a competitive salary, generous annual leave, and a comprehensive pension scheme, making it an ideal place for those seeking meaningful and rewarding employment in environmental compliance.
StudySmarter Expert Advice🤫
We think this is how you could land Operations and Data Manager in London
✨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 Valpak Limited!
✨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 Operations and Data Manager at Valpak Limited.
✨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 Valpak Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Operations and Data Manager at Valpak Limited, 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 Operations and Data Manager in London
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 Valpak 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 Valpak 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 Valpak 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!
✨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 Valpak Limited!
✨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.
