At a Glance
- Tasks: Curate and manipulate large datasets, build data pipelines, and collaborate with analytics teams.
- Company: Join a leading tech company focused on data solutions and innovation.
- Benefits: Competitive pay, flexible work options, tuition assistance, and wellness perks.
- Other info: Mentorship opportunities and a focus on career growth in an inclusive workplace.
- Why this job: Make an impact by solving complex data challenges in a dynamic environment.
- Qualifications: 6+ years in data engineering, strong SQL skills, and experience with large datasets.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities
- Providing the organization’s data consumers with high‑quality data sets by curating, consolidating, and manipulating data from a wide variety of large‑scale (terabyte and growing) sources.
- Building high‑quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and Big Query.
- Developing and improving enterprise data marts by creating efficient and scalable data models to be used across the organization.
- Partnering with analytics, data science, CRM, and machine learning teams to deliver data solutions.
- Ensuring enterprise data mart integrity, validation, and documentation.
- Managing data pipeline SLA and dependency management.
- Writing technical documentation for data solutions and presenting at design reviews.
- Investigating data pipeline failures and implementing anomaly detection.
- Collaborating with analytics, product owners, and front‑end developers on tracking solutions and solving technical challenges.
- Leading medium to large‑size projects, including writing technical specifications and project planning.
- Mentoring junior team members.
Qualifications
- BS or MS degree in Computer Science or a related technical discipline.
- 6+ years of data engineering or general software development experience.
- Experience with large datasets (terabyte scale and growing) and familiarity with Hadoop, Hive, Big Query, Snowflake, MS SQL, Postgre SQL/My SQL.
- Comprehensive data design and data modeling experience.
- Solid experience developing complex ETL processes from concept to implementation, including SLA definition, performance measurement, and monitoring.
- Advanced SQL query and data exploration skills across large datasets.
- Systems performance and optimization experience, with an eye for how architecture and design impact performance and scalability.
- Experience in functional programming with Python (or an equivalent language).
- Strong software engineering principles and a self‑paced, organized, detail‑oriented mindset.
- Strong communication skills to effectively engage business and technical teams.
- Proven record of technical leadership on medium to large‑size projects and handling challenging deadlines.
- Intense curiosity, enthusiasm for solving difficult problems, and ability to simplify complex challenges.
- Experience with task orchestration tools such as Airflow.
- Comfortable working in a Linux CLI environment and designing high‑scale, fault‑tolerant, and performant distributed applications.
- Experience with real‑time data pipelines and programming languages such as Java.
- Exposure to or interest in machine learning and data science.
- Experience with data governance.
Benefits
- Competitive compensation packages, including base salary, annual bonus, and more.
- Flexible work‑style options and a remote‑friendly approach.
- Flexible schedule with a focus on work‑life balance.
- Donation matching program.
- Tuition assistance for professional development.
- Lifestyle benefit for personal wellness or travel.
- Travel perks and discounts.
- Employee assistance program.
- Health benefits with competitive premiums.
- Generous referral scheme.
We strive to create an accessible and inclusive experience for all candidates.
If you need a reasonable accommodation during the application or recruiting process, please contact your recruiter or our team at Accessible Recruiting@tripadvisor. com.
For additional questions about careers at Tripadvisor, email recruitment@tripadvisor. com.
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Senior Data Engineer employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
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 Doist!
✨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 Doist.
✨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 Doist.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Doist, 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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
