

Inflexion Analytics
https://inflexionanalytics.comAbout
We exist to help organizations turn data into action and technology into impact.
Our mission is to level the playing field — empowering ambitious businesses to compete, grow, and innovate by using analytics and AI in practical, measurable ways that improve performance and productivity.
Candid answers by the company
We're a boutique data and analytics consultancy. We help mid-market companies with data strategy, analytics and BI, data engineering, and AI/ML — end to end, in one team. Lately a lot of our work is helping firms in education, field services, recruitment and similar sectors introduce AI into their existing tech stack without ripping anything up.
Jobs at Inflexion Analytics
About the Role
We are looking for a motivated Data Engineer with 2+ years of professional experience to join our team. You will be responsible for designing, developing, and maintaining scalable data pipelines and cloud-based data solutions while taking ownership across the full software development lifecycle.
The ideal candidate will have strong experience in modern data engineering practices, cloud platforms, and marketing/advertising data integrations such as Google Ads, Meta Ads, and analytics platforms.
This role is suited for someone who enjoys solving complex data challenges, building reliable systems, and working in a fast-paced environment.
Key Responsibilities
- Design, build, and maintain scalable and reliable ETL/ELT data pipelines.
- Develop and optimize data models, transformations, and warehouse solutions for analytics and reporting.
- Work with marketing and advertising datasets from platforms such as Google Ads, Meta Ads, Google Analytics, and similar ecosystems.
- Integrate APIs, third-party systems, and cloud-native services into data workflows.
- Optimize complex SQL queries and improve pipeline performance and reliability.
- Implement data quality checks, monitoring, and observability across pipelines.
- Collaborate with cross-functional teams including product, analytics, and engineering teams to deliver data-driven solutions.
- Contribute to software engineering best practices including Git workflows, CI/CD pipelines, testing, and documentation.
- Participate in architecture discussions and help improve data platform standards and best practices.
- Build and maintain solutions within Google Cloud Platform (GCP) environments.
Qualifications
- 2+ years of professional experience in Data Engineering or related fields.
- Strong proficiency in Python programming.
- Advanced SQL skills with experience in query optimization and data warehousing concepts.
- Experience working with marketing and advertising platforms such as Google Ads, Meta Ads, Google Analytics, DV360, or similar platforms.
- Experience working with AI-assisted coding and development tools such as Claude Code, Cursor, or similar platforms
- Hands-on experience leveraging AI-based development tools to accelerate data engineering implementation and automation
- Familiarity with AI-powered coding assistants and agentic development workflows
- Understanding of marketing data pipelines, attribution reporting, campaign analytics, or customer analytics is highly desirable.
- Hands-on experience with at least one major data engineering technology such as Airflow, Spark, Kafka, Databricks, or similar frameworks.
- Strong experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, Cloud Functions, GCS, or Composer.
- Familiarity with APIs, Linux environments, CLI tools, Git, and CI/CD workflows.
- Strong understanding of data pipeline design, orchestration, monitoring, and troubleshooting.
- Excellent communication, collaboration, and problem-solving skills.
- Ability to work independently and contribute across multiple technical domains.
Who are we?
Inflexion Analytics is a team of data science and analytics consultants based in London, UK, and Bangalore India. Founded in 2015, we have built a strong track record and foundation serving demanding clients. We are now looking to achieve significant growth and become a leading specialist consultancy in the data science field.
What we do?
We help businesses to improve performance through better insight and decision-making. To achieve this, we offer services across the data science value chain including; data strategy, data engineering, data insights, and visual analytics. We work with a global client base, including clients based in the US, UK, Europe, and Australia.
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