Data Engineer

About the Role

We are seeking a Data Engineer with expertise in marketing analytics to help us design, build, and optimize data pipelines that drive campaign insights and marketing performance measurement. This role sits at the intersection of data engineering and digital marketing, supporting marketing teams in understanding campaign performance, organic and paid media analytics, and overall marketing efficiency.

Key Responsibilities

Data Processing & Pipelines:

• Develop, maintain, and optimize ETL/ELT pipelines for marketing and advertising data.
• Work with structured and unstructured data to ensure accurate data ingestion, transformation, and storage.
• Implement scalable data solutions using cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).

Marketing & Campaign Performance Analytics:

• Process and analyze data related to campaign performance (organic & paid) across multiple digital marketing channels.
• Ensure accurate tracking and reporting of key performance indicators (KPIs) such as CTR, CPC, CPA, ROAS, conversion rates, and engagement metrics.
• Enable marketers to optimize paid media spend and audience targeting through robust data insights.

Data Availability & Quality:

• Assess what data is available from various marketing sources (Google Ads, Facebook Ads, TikTok, LinkedIn, DSPs, CRMs, CDPs, etc.).
• Ensure data integrity, consistency, and accuracy through proper validation and governance processes.
• Collaborate with data analysts and marketing teams to make data more accessible and actionable.

Collaboration with Marketing & Tech Teams:

• Work closely with digital marketers, media buyers, and data scientists to translate business needs into scalable data solutions.
• Develop and maintain dashboards & reporting solutions using BI tools like Tableau, Looker, Power BI, or Google Data Studio.
• Help automate data-driven decision-making by integrating machine learning or predictive analytics models.

Qualifications & Skills

Technical Skills:

• Strong experience in SQL, Python, or R for data processing and analysis.
• Hands-on experience with cloud data platforms (BigQuery, Snowflake, Redshift, or Databricks).
• Familiarity with data warehousing, data modeling, and ETL frameworks.
• Knowledge of APIs and data extraction from marketing platforms (Google Analytics, Facebook Ads, etc.).

Marketing & Paid Media Experience:

• Understanding of digital marketing concepts, paid media space, and ad platforms.
• Experience working with campaign data, marketing mix modeling, or customer segmentation.
• Knowledge of attribution models and media optimization strategies.

Soft Skills:

• Ability to communicate insights effectively with non-technical stakeholders.
• Strong problem-solving and analytical skills.
• Ability to work in a fast-paced, cross-functional team environment.

Nice-to-Have:

• Experience with AI/ML models for marketing analytics.
• Familiarity with programmatic advertising, DSPs, and CDPs.