At a Glance
- Tasks: Design and maintain data pipelines, integrating diverse data sources and ensuring data quality.
- Company: Join a leading global tech firm focused on innovation and data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of data engineering and make a significant impact in the tech industry.
- Qualifications: 4-6 years in Data Engineering with expertise in SQL and cloud technologies.
The predicted salary is between 105000 - 130000 £ per year.
Salary: £105,000 - 130,000 per year
Requirements:
- Bachelors Degree in Computer Science, Engineering, or related field (or equivalent practical experience).
- 4-6 years of relevant experience in Data Engineering.
- Expertise in SQL, especially within cloud-based data warehouses like Snowflake, API-integrated data pipelines using Python.
- Hands-on experience with AWS technologies such as AWS Lambda/Glue, S3, and CloudFormation.
- Familiarity with cloud data warehouse platforms such as Snowflake, developing data pipelines in DBT (Data Build Tool); or other ETL/ELT tools, languages, and frameworks is a plus.
- Working knowledge of version controlling tools, CI/CD processes and deployments using tools such as GitHub, Git Actions, Terraform.
- Experience working with semi-structured and unstructured data formats such as JSON and XML.
- Familiarity with Data orchestration tools such as Airflow.
- Experience working in Agile/Scrum environments is preferred.
- Experience within GenAI space is a plus.
Responsibilities:
- Design, build, test, and maintain data pipelines while managing the data platform.
- Develop integrations from diverse data sources including on-premises systems and external APIs.
- Support and troubleshoot production processes.
- Contribute to scalable pipeline design and resolve data discrepancies.
- Ensure SLAs are met while continuously improving data models, code efficiency, and data quality.
- Adhere to best practices in data integrity, testing, security, and documentation.
- Continuously expand technical expertise and stay current with evolving tools and platforms.
Technologies: Airflow, API, AWS, Lambda, CI/CD, Cloud, Data Warehouse, ETL, Git, GitHub, JSON, Python, SQL, Security, Snowflake, Terraform, XML, dbt, Spark
Global IT Data Engineer employer: Boston Consulting Group
As a Global IT Data Engineer, you will thrive in a dynamic and innovative environment that champions professional growth and collaboration. Our company offers competitive salaries, comprehensive benefits, and a culture that values continuous learning and development, all set in a vibrant location that fosters creativity and teamwork. Join us to be part of a forward-thinking team where your contributions directly impact our data-driven success.
StudySmarter Expert Advice🤫
We think this is how you could land Global IT 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 Boston Consulting Group!
✨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 Global IT Data Engineer at Boston Consulting Group.
✨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 Boston Consulting Group.
✨Apply Directly through Our Website
When you find a suitable opening like Global IT Data Engineer at Boston Consulting Group, 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 Global IT 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 Boston Consulting Group, 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 Boston Consulting Group. 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 Boston Consulting Group
✨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 Boston Consulting Group!
✨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.
