At a Glance
- Tasks: Build and maintain data pipelines for reporting and analysis.
- Company: Join a dynamic team focused on data-driven success.
- Benefits: Competitive pay, flexible contract, and hands-on experience.
- Other info: Exciting opportunity to grow in a fast-paced, innovative environment.
- Why this job: Make a real impact by optimising data processes and collaborating with diverse teams.
- Qualifications: Strong Python and SQL skills, plus experience with Apache Spark and Databricks.
The predicted salary is between 60750 - 74250 £ per year.
Senior Data Engineer
About the Role
We are looking for a motivated
Data Engineer to join our Data Platform team and help align reliable marketing, payments, and product data with business goals to drive organizational success.
In this role, you will build and operate the pipelines that feed daily reporting, attribution, and LTV calculations ingesting data from ad platforms, payment systems, and product backends into our lakehouse, orchestrating jobs, and keeping silver/gold tables accurate and on time.
You'll work closely with Analytics, Marketing, and Data Science teams to make a meaningful impact on both our products and processes.
Role Details
Start date
ASAP
Rate
€250 - €300
Contract
3 months
Key Responsibilities
- Build and maintain pipelines that feed daily reporting, attribution, and LTV.
- Ingest data from ad platforms, payment systems, and product backends into Databricks.
- Orchestrate and monitor jobs in Apache Airflow.
- Keep silver/gold tables accurate, tested, and delivered on time.
- Proactively identify, troubleshoot, and resolve issues to optimize internal and external processes.
- Balance multiple projects without sacrificing quality, aligning work with brand standards, cultural nuances, and regulatory requirements.
- Engage with diverse stakeholders (product, engineering, marketing) to gather requirements, evaluate options, and develop tools and processes supporting organizational goals.
- Own production reliability: scheduled jobs, data quality checks, alerting, and getting a failed daily run back on track.
- Required Skills & Experience
- Technical Skills
- Strong experience with Python and SQL.
- Hands-on experience with Apache Spark.
- Experience with Databricks (Unity Catalog / Delta Lake).
- Experience orchestrating workflows with Apache Airflow.
- Familiarity with GCP services (GCS, Big Query).
- Experience with dbt and ads/payments APIs (e. g., Google Ads, Stripe, Revenue Cat) is a plus.
- Solid understanding of agile methodologies.
- Soft Skills
- Excellent analytical and problem-solving abilities, with a strategic approach to challenges.
- Strong collaboration skills for working seamlessly across cross-functional teams.
- Exceptional communication skills for engaging stakeholders at various levels.
- Advanced English proficiency, spoken and written (C1 or equivalent).
- Curiosity about the business behind the data marketing spend, subscriptions, attribution not just the pipelines that move it.
- #J-18808-Ljbffr
Senior Data Engineer in London employer: Gravitas Group
As a global leader in risk and reinsurance, our client offers an exceptional work environment that prioritises collaboration, inclusivity, and professional development. The role of International Contracts Leader not only provides the opportunity to shape contract strategy across UK and Europe but also fosters personal growth through exposure to complex contractual issues and stakeholder management. With a commitment to innovation and high-quality standards, employees are empowered to thrive in a hybrid working model while contributing to meaningful solutions for clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Gravitas Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Gravitas Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Gravitas Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Gravitas Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Gravitas Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Gravitas Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Gravitas Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Gravitas Group.
