At a Glance
- Tasks: Lead and innovate in data engineering, transforming raw data into actionable insights.
- Company: Join CDW, a top tech solutions provider with a people-first culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on teamwork and continuous learning.
- Why this job: Make a real impact on technology solutions for diverse industries while collaborating with inspiring teams.
- Qualifications: 7+ years in data engineering, strong skills in Azure, PySpark, and data modelling.
The predicted salary is between 56700 - 69300 £ per year.
Monday to Friday, 09:00-17:30 - Hybrid working (3 days in Office per week)
Leading (and carrying out) Data Engineering activities for and not limited to the Data Platforms and Services
RESPONSIBLE FOR
CDW is a leading technology solutions provider to business, government, education and healthcare organisations in the United Kingdom, Canada, and the United States.
Our fingerprints can be found on technology in workplaces of more than 250,000 companies: from start-ups to international conglomerates.
With the breadth of products and services we offer, there is no request too big or too small.
CDW prides itself on being ‘People Who Get IT’ and ‘People who get People’.
Our relationships are fuelled by our deep expertise and grounded in the CDW Way.
Our empowering leadership makes things happen and inspires their teams to do the same.
From the teammates beside us to the leaders who guide us, we move forward together.
At CDW, you’ll work with people who inspire you.
People with positive, success-driven attitudes who you will learn from and forge strong relationships with.
Bring your best true self—and your best ideas—to CDW.
Because diverse perspectives bring forth better problem solving—and better solutions for our customers on a rapidly evolving technology landscape.
BACKGROUND
CDW is a leading technology solutions provider to business, government, education and healthcare organisations in the United Kingdom, Canada, and the United States.
Our fingerprints can be found on technology in workplaces of more than 250,000 companies: from start-ups to international conglomerates.
With the breadth of products and services we offer, there is no request too big or too small.
CDW prides itself on being ‘People Who Get IT’ and ‘People who get People’.
Our relationships are fuelled by our deep expertise and grounded in the CDW Way.
Our empowering leadership makes things happen and inspires their teams to do the same.
From the teammates beside us to the leaders who guide us, we move forward together.
At CDW, you’ll work with people who inspire you.
People with positive, success-driven attitudes who you will learn from and forge strong relationships with.
Bring your best true self—and your best ideas—to CDW.
Because diverse perspectives bring forth better problem solving—and better solutions for our customers on a rapidly evolving technology landscape.
KEY DUTIES
CDW is constantly evolving our Data and technology landscape and are looking for a Senior Data Engineer to join a growing team to ingest, cleanse and model data into single source of truth, Kimball datasets, used for Business Intelligence reporting, ML, DS & AI and more.
A Senior Data Engineer to manage, lead, guide, advice and develop technology and people.
Responsible to lead the work, activities, oversight and management of Data Engineers reporting into this role.
- Design and develop homogenous data repositories to deliver data led decision making.
- Ingest data from various sources, including on premise SQL databases, REST API’s, Apache Kafka streams, etc.
- Define and apply cleansing rules to the data to ensure meets quality expectations.
- Define and model data for its appropriate use including into single source of truth Kimball datasets, e. g. dimensions and facts.
- Dev Ops approach to software; create high quality code using traditional software practices, such as building, linting, unit and integration testing, repositories, CI/CD, peer reviews, etc.
- Dev Ops approach to support; monitor pipelines to ensure business-critical data pipelines are processed meeting time constraint and data quality expectations (including implementing reactive changes where applicable).
- Drive and Integrate into the data team’s WOW, including backlog refinement, sprint planning, demonstrations, and retrospectives, including translation of user requirements into technical requirements including complexity estimation, implement into sprint cycles, collaboration into process improvement, etc.
- Based on requirements, perform ad-hoc analysis of structured and unstructured data across multiple data sources to inform solution design.
- Document datasets in data catalogue, including ownership, stewardship, dictionaries, glossaries, lineage, sensitivity, etc.
- Ownership of Work Items and works with data owners / stewards to ensure high quality, aligned deliveries, and compliance with legislation, such as GDPR, e. g.
PII vs Non-PII, data retention, etc.
- Document solution design inline with Data Governance.
- Support all data platforms and ensure its smooth running.
- Ad-hoc Analysis: Perform ad-hoc analysis of structured and unstructured data to inform solution design and support decision-making processes.
KNOWLEDGE AND EXPERIENCE
Must Have
- At least 7 years as an Engineer in a Data Field
- Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az Power Shell)
- Strong Py Spark, Delta Lake, Unity Catalog and Python skills.
- Includes ability to write unit and integration tests in Python with unittest, pytest, etc.
- Strong understanding of software development practices, such as SOLID principals, structuring code, testing, IOC, etc.
- Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc.
- Excellent written and verbal communication skills
- A demonstrable track record of getting stuff done whilst managing competing pressures and deadlines and retaining an eye for detail and quality.
- A passion for technology and its ability to have a positive impact on business.
Nice To Have
- Other languages, such as C#, Power Shell
- Streaming technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc.
- Data Governance tool experience e. g. Purview
- Machine learning and Artificial intelligence
- #J-18808-Ljbffr
Senior Data Engineer employer: CDW UK
CDW is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to bring their best ideas to the table. With a strong focus on professional growth, CDW offers numerous opportunities for skill development and career advancement, all while working in a hybrid environment that promotes work-life balance. Located in a dynamic sector, employees can thrive alongside inspiring colleagues and contribute to impactful technology solutions for a diverse range of clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 CDW UK!
✨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 Senior Data Engineer at CDW UK.
✨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 CDW UK.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at CDW UK, 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 Senior 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 CDW UK, 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 CDW UK. 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 CDW UK
✨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 CDW UK!
✨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.
