ETL Engineer

HIGH DemandLOW AI RiskGROWING in SL· Rs.140k+ /mo

For those who love turning raw data into clean, reliable information — ETL engineers build the pipelines that power every business dashboard, report, and AI model.”

About This Role

Building data pipelines to extract, transform, and load data into warehouses.

A Day in the Life

ETL Engineers build and maintain data pipelines that extract data from source systems, transform it into usable formats, and load it into data warehouses and analytics platforms — enabling business intelligence, reporting, and data-driven decisions.

Design and build ETL/ELT pipelines using Apache Spark, dbt, or Airflow
Connect to source systems (APIs, databases, files) and ingest data
Transform raw data with business logic (cleaning, aggregation, joins)
Schedule and orchestrate pipeline runs
Monitor data quality and pipeline failures
Optimise slow-running pipelines for performance
Collaborate with data analysts and BI teams on data requirements

Work Environment

HYBRIDTeam: SMALLCASUALRemote: HIGH

Data team within a tech company, bank, or analytics-focused organisation. Mix of engineering and data work.

Typical hours: 45h/week · WLB score 7/10 · OCCASIONAL overtime

Data pipeline failures can cause urgent response needs. Generally good WLB in mature data teams.

Skills Required

Technical Skills

Apache SparkApache Airflowdbt (data build tool)SQL (advanced)Python (pandas, PySpark)Cloud Data Warehouses (Snowflake, BigQuery, Redshift)Data Pipeline DesignREST API ingestionKafka (streaming ETL)

Soft Skills

Data Quality FocusCollaboration with Data TeamsProblem SolvingDocumentationDebugging

Tools & Software

Apache AirflowdbtSparkSnowflakeBigQueryPythonGitHubJiraGreat Expectations (data quality)

Salary in Sri Lanka (LKR / month)

Entry LevelRs.75k – Rs.140k/mo

Mid-LevelRs.150k – Rs.300k/mo

SeniorRs.300k – Rs.650k/mo

Entry: Junior Data Engineer / ETL DeveloperMid: ETL EngineerSenior: Senior ETL Engineer / Data Platform Engineer

Typical progression: 3yr to mid · 7yr to senior

Global Salary (USD / year)

Entry Level$80k – $120k/yr

Mid-Level$120k – $190k/yr

Senior$190k – $280k/yr

Top Markets

USAUKGermanyAustraliaNetherlandsSingapore

Market Outlook

GROWING

Data engineering is rapidly growing in SL as banks, telecoms, and tech companies invest in data platforms. ETL engineers are in increasing demand.

Hiring: MEDIUM

Dialog AxiataCommercial BankJohn Keells ITVirtusaSysco LABSAnalytics consulting firms

GROWING

Data engineering is one of the fastest-growing roles in tech. Every data-driven company needs ETL/data pipeline engineers.

Entry Requirements

Sri Lanka

Min. EducationBACHELORS

Experience1 year data/SQL work

Preferred

BSc Computer Science or StatisticsStrong SQL skillsPython scripting ability

Global

Min. EducationBACHELORS

Experience2 years data engineering with pipeline work

Preferred

dbt certificationSpark/BigQuery experienceData warehouse architecture knowledge

Helpful Certifications

dbt Analytics Engineering CertificationDatabricks Certified Associate DeveloperSnowflake SnowProGoogle Professional Data Engineer

Entrepreneurship & Freelancing

Freelance: MEDIUMRemote: HIGHCapital: LOW

Freelance earnings: $3000–$10000/mo (USD)

Platforms (SL)

UpworkToptalDirect data consulting

Business Ideas

Data engineering consultancy
Analytics platform services
BI implementation firm

Side Income Ideas

Data pipeline consultingdbt/Airflow workshopsAnalytics engineering projects

Data engineering consulting demand in SL is growing rapidly with enterprise digitisation.

Risks & Challenges

AI / Automation Risk

LOW

LONG TERM

Burnout Risk

LOW

Job Security (SL)

HIGH

AI assists with SQL generation but pipeline architecture, data quality logic, and complex transformation design remain expert work.

Burnout Causes

Data quality debuggingUpstream source system changes breaking pipelinesBusiness stakeholder pressure

Physical Health Risks

Sedentary work

Mental Health Risks

Data incident pressure when reports are broken

How to Mitigate

Master dbt and Airflow
Get Snowflake or BigQuery certification
Develop Spark skills for large-scale data
Transition to Data Platform Engineer or Architect track

Is This Career For You?

Best for students who enjoy data, programming, and problem-solving and want a high-demand career at the intersection of software engineering and data analytics.

Personality Types

INTJISTJINTP

Core Motivations

Making data accessible and reliableBuilding systems that enable data-driven decisionsTechnical problem solving in data domainEnabling analytics teams

What You'll Love

High and growing demand
Clear progression path
Remote work opportunities
Analytics ecosystem enabling AI/ML

What's Challenging

Upstream data quality dependencies
Pipeline complexity as data grows
Debugging opaque data transformation errors