Data Engineer

Job not on LinkedIn

🔥 3 minutes ago

🇱🇰 Sri Lanka – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dijital Team

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

💼 Consulting

☁️ SaaS

B2B • Consulting • SaaS

Dijital Team is a smarter offshoring solution for IT teams. We enable you to build a high performing IT team that will decrease your costs and increase your efficiency - accelerating the growth of your business. We take care of the team so you can take care of the rest.

📋 Description

• Build and maintain data pipelines, integrations, reporting datasets, dashboards and visualisations • Work with the Head of Data Practice and stakeholders to understand data sources and define requirements • Develop and maintain data ingestion pipelines and ETL/ELT processes • Build and maintain API-based and other data integrations • Write and optimise SQL queries and views for relational data transformation • Use Python to process data and automate recurring preparation activities • Interpret existing schemas and maintain structured data models • Contribute to data processing and transformation within Databricks • Validate data completeness, accuracy and consistency from source through to reporting • Investigate and resolve pipeline, integration and data quality issues • Develop and maintain reports, dashboards, metrics and visualisations for internal and client users • Translate business requirements into effective layouts, visualisations and accurate calculations • Maintain and enhance existing Power BI reports • Develop reporting solutions using GoodData and Databricks • Migrate and consolidate legacy reporting solutions, including SSRS reports • Validate migrated outputs against agreed requirements • Support visualisations through client portals and embedded reporting environments • Contribute to AI-assisted analytics and natural-language data exploration, including Databricks Genie • Document data flows, transformations, data models and report logic • Manage engineering and reporting deliverables through completion • Communicate dependencies, progress and issues • Collaborate with the wider technology team and stakeholders • Adapt delivery priorities as business requirements evolve

🎯 Requirements

• Hands-on experience across data engineering, data preparation and report development • Strong SQL skills, including queries, joins, transformations and views • Understanding of relational databases, schemas, data flows and data modelling • Experience developing dashboards, reports and visualisations using an established BI platform • Ability to translate business requirements into data preparation, reporting logic and meaningful metrics • Troubleshooting experience across data pipelines, reporting and data quality • Experience maintaining existing solutions while delivering new requirements • SQL and relational database technologies • Data modelling and preparation of datasets for reporting and analytics • Experience with Power BI, Tableau, QlikView or a comparable BI platform • Preferred: data ingestion pipelines and ETL/ELT processes • Preferred: Python for data processing, transformation and automation • Preferred: Databricks • Preferred: GoodData and MAQL • Preferred: Power BI report maintenance, troubleshooting and enhancement • Preferred: API-based integrations • Preferred: SSRS and legacy report migration • Preferred: embedded visualisations and iframe concepts • Preferred: Databricks Genie or comparable AI-assisted analytics capabilities • Preferred: Microsoft Azure data environments • Clear communication and confidence clarifying business requirements • Analytical thinking and practical problem-solving skills • Strong attention to detail and data accuracy • Ability to prioritise effectively and adapt to changing requirements • Collaborative approach with technical and business stakeholders • Strong self-management and communication in a remote environment

🏖️ Benefits

• Get paid in Australian Dollars • Medical insurance from day one for you + spouse (or parents if unmarried) • Generous OPD coverage from doctor visits to all your medical needs • Home office setup allowance • Internet allowance • Gym & wellness allowance • Regular team events & engagement activities • Diji Assist mental health and counseling support • Reimbursement for industry certifications • Open-door culture • Flexible work – home or office • Rewards & recognition • Christmas and financial year-end parties