At a Glance
- Tasks: Develop and support data solutions using Snowflake and Power BI in a collaborative team.
- Company: Join Medpace, a leading clinical research organisation making a global impact.
- Benefits: Competitive pay, health benefits, flexible work options, and career growth opportunities.
- Other info: Enjoy a supportive culture with mentorship and continuous learning opportunities.
- Why this job: Make a difference in healthcare while advancing your skills in a dynamic environment.
- Qualifications: 3+ years in Data Engineering with knowledge of SQL, ETL tools, and business intelligence.
The predicted salary is between 63000 - 77000 £ per year.
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.
Responsibilities
- Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL);
- Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools (dbt, Azure Data Factory, SSIS);
- Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI;
- Collect, analyze and document user requirements;
- Participate in software validation process through development, review, and/or execution of test plan/cases/scripts;
- Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
- Communicate with team members regarding projects, development, tools, and procedures;
- Provide end-user support including setup, installation, and maintenance for applications.
Qualifications
- Bachelor's Degree in Computer Science, Data Science, or a related field;
- 3+ years of experience in Data Engineering;
- Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;
- Solid ETL development, reporting knowledge based off intricate understanding of business process and measures;
- Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred;
- Knowledge of Python is preferred;
- Knowledge of REST API;
- Basic knowledge of SQL Server databases is required;
- Knowledge of C#, Azure development is a bonus;
- Excellent analytical, written and oral communication skills.
When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.
Other Employee Benefits
- Competitive compensation programs that recognize and reward performance;
- Comprehensive health, wellness, retirement, and PTO benefits;
- Office based culture with occasional WFH that provides flexibility for eligible positions after training;
- Company-sponsored social events.
Please note benefits may vary based on country.
A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.
Data Engineer — BI & Snowflake, Flexible Growth Path in London employer: Medpace, Inc.
Medpace, Inc. is an excellent employer for those looking to kickstart their career in clinical trials, offering comprehensive onboarding and training that empowers you to become a data monitoring expert. With a strong emphasis on cross-functional collaboration and a supportive work culture, employees are encouraged to grow and develop their skills in a dynamic environment. Located in a vibrant office setting, Medpace provides a unique opportunity to contribute meaningfully to impactful projects while enjoying a fulfilling work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — BI & Snowflake, Flexible Growth Path in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer — BI & Snowflake, Flexible Growth Path 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 Medpace, Inc., 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 Medpace, Inc.. 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 Medpace, Inc.
✨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 Medpace, Inc.!
✨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.
