Senior Data Engineer

Gravitas Group; Greater London; On-site; GBP 40,000 - 48,000; Full time

Job summary

Gravitas Group in London is seeking a Senior Data Engineer to join the Data Platform team. You will build and operate pipelines feeding daily reporting, attribution, and LTV, ingesting data from ads, payments, and product backends into our lakehouse.

You will orchestrate jobs with Apache Airflow, maintain silver/gold tables, and work with Analytics, Marketing, and Data Science to impact products and processes. This 3-month contract offers a daily rate of €250–€300 starting ASAP.

Qualifications

• Strong experience with Python and SQL.
• Hands-on Apache Spark and Databricks (Unity Catalog/Delta Lake).
• Experience with Airflow orchestration and GCP services.
• Familiarity with dbt and ads/payments APIs is a plus.
• Solid understanding of agile methodologies.

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 processes.
• Balance multiple projects without sacrificing quality, aligning work with brand standards and regulatory requirements.
• Engage with stakeholders to gather requirements and develop tools supporting organizational goals.
• Own production reliability: scheduled jobs, data quality checks, alerting, and remediation.

Skills

Python

SQL

Apache Spark

Databricks

Airflow

GCP

dbt

Ads/Payments APIs

Agile

Job description

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, BigQuery).
• Experience with dbt and ads/payments APIs (e.g., Google Ads, Stripe, RevenueCat) 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.