At a Glance
- Tasks: Design and develop automated data pipelines for innovative cloud solutions.
- Company: Join Concorde, a forward-thinking company at the forefront of data engineering.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellness initiatives.
- Other info: Work in a dynamic team with opportunities for career advancement.
- Why this job: Be part of a transformative cloud analytics platform and grow your tech skills.
- Qualifications: Experience in Python, SQL, and data engineering with a passion for innovation.
Key Responsibilities
As a Data Engineer for Concorde, you will be a key operational and hands-on engineer delivering Business tenancies for Risk Store as part of the data platform strategy execution across all areas of the business. You will act as a member of the Concorde program and work with product teams across Risk to design and implement modern, scalable data solutions using a range of new and emerging technologies contributing to innovation in the data space. You will work on developing and supporting the AWS & Snowflake based cloud data platform as well as helping to support and migrate data from legacy platforms. This is an opportunity to play a key part in the roll-out of a new cloud-based analytics platform and the role would suit an ambitious individual keen to develop their skills and knowledge.
Required Skills
- Design and development of automated data pipelines and data structures
- Professional Python engineering experience, designing and implementing high-throughput systems with strong adherence to object-oriented design, performance optimisation, and production-grade reliability.
- Hands-on data engineering experience for data warehouse solutions using Snowflake, SQL, dbt and Airflow
- Hands-on knowledge of building CI/CD pipelines using GitLab.
- Experience working with Agile Delivery teams (Scrum, Kanban) and JIRA
- Ability to build automated testing to test data pipelines
- Support transition from on-premises solutions to cloud first strategy (AWS & Snowflake)
- Up-to-date knowledge of technology standards, industry trends, emerging technologies and software development best practices
- Demonstrable experience of ITIL processes within a 2nd/3rd line support environment
Benefits
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Equal Opportunities
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Junior Data Engineer employer: LSEG
At Concorde, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. As a Junior Data Engineer, you will have access to tailored benefits such as healthcare, retirement planning, and paid volunteering days, all while working in a supportive environment that encourages professional growth and development. Join us in our London office to be part of a forward-thinking team dedicated to transforming data solutions in the cloud.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like LSEG when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like LSEG.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like LSEG.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through LSEG’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at LSEG, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at LSEG aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at LSEG
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
