PythonAbout 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Inflexion Analytics
About
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.
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PythonAI Agent Builder – Internal Functions and Data Platform Development Tools
About the Role:
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon