Position Details

Type Full-Time

Experience mid

Exp. Years 2+ years

Education Not specified

Category Data & Analytics

About this role

Data engineering role focusing on building and maintaining ETL/ELT pipelines powering marketing, product, and finance dashboards across cybersecurity brands. Collaborates with stakeholders to ensure data accuracy and reusable datasets.

Key Responsibilities

Build and maintain ETL/ELT pipelines using APIs, SFTP, and third-party integrations
Extract and transform Salesforce data to support B2B funnel reporting and attribution
Monitor pipelines, troubleshoot issues, document ETL logic and data models
Validate data and investigate discrepancies across sources
Contribute to reusable datasets and maintain data warehouse hygiene

Technical Overview

Develop and scale data pipelines using APIs/SFTP and third-party integrations; leverage Python and SQL; work with AWS data services to connect Salesforce, Zuora, RevenueCat, and other sources.

Ideal Candidate

The ideal candidate is a mid-level data engineer / BI developer with 2+ years building ETL/ELT pipelines, strong Python and SQL, and experience integrating Salesforce data via APIs; comfortable working remotely from Ireland and collaborating with business stakeholders.

Must-Have Skills

2+ years of data processing or data engineeringStrong Python and SQL skillsExperience working with Salesforce data via APIs and batch ingestion pipelinesExperience with AWS data services (S3GlueRedshiftAthenaLambda)

Nice-to-Have Skills

Experience with ETL tools like Talend or similarExperience optimizing batch pipelines (full refresh to incremental)Familiarity with Redshift-based transformationsExposure to ad platformsaffiliateor partner dataExperience supporting dashboarding for marketing or sales teamsExperience with BI tools (LookerQuickSight)

Tools & Platforms

SalesforceTalendLookerQuickSightAmazon RedshiftAmazon S3AWS GlueAmazon AthenaAWS LambdaSFTP

Required Skills

2+ years in data processing or data engineeringPythonSQLSalesforce data via APIsAPIsETL/ELT pipelinesAWS data servicesdata validationdata warehouse hygiene

Hard Skills

ETL/ELT pipelinesAPIsSFTPPythonSQLSalesforce data via APIsBatch ingestion pipelinesAWS data services (S3GlueRedshiftAthenaLambda)Data validationData warehouse hygieneLookerQuickSightData dashboards

Soft Skills

Strong communicationAbility to work with business stakeholdersWillingness to learnTeam collaborationAttention to detail

Industry & Role

Industry Cybersecurity

Job Function Develop and manage data pipelines and BI-ready datasets for cross-functional reporting across cybersecurity brands.

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, Salesforce, Amazon Web Services

Keywords for Your Resume

Business Intelligence DeveloperThreatTrack SecurityData EngineerETLELTPythonSQLSalesforceSalesforce APIAPIsSFTPAWSAmazon Web ServicesS3GlueRedshiftAthenaLambdaLookerQuickSightdata validationdata qualitydata pipelinesData pipelinesData validation

Deal Breakers

Less than 2 years of data engineering experience, No Python or SQL skills, No experience with Salesforce data via APIs

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