Stop rebuilding ESG data by hand every cycle. We map your sources, build pipelines and quality checks, and hand over a flow your team can rerun.
Trusted by
Partner of
ERP and cloud platforms we work with
SAP
S/4HANA
Oracle ERP
AWS
Azure
Google Cloud
(GCP)
Source mapping
Every metric linked to its source
Data pipelines
The same collection every cycle
Quality checks
Gaps flagged, never guessed
Handover
A flow your team can run
4.9/5
Overall review rating by Clutch
431+
Successfully delivered projects
3.5 yrs+
Avg engagement duration
14 yrs
On the market
Three signs your ESG reporting needs engineering. For a small one-time request, a controlled spreadsheet may be enough.
01
Every reporting cycle, your team collects the same ESG figures again from emails, exports and supplier spreadsheets.
We turn the approved collection into a repeatable data flow.
02
A customer or auditor asks where a figure came from, and nobody can show the source behind it.
Every output keeps a link to its source and corrections.
03
Your ESG platform or advisor is ready, but ERP exports and supplier files arrive incomplete or in mixed units.
We connect your sources and flag gaps before reporting.
Data engineering pays off when ESG figures come from several systems, teams or suppliers and must be prepared again every cycle.
Typical situations where ESG reporting data engineering delivers the most value:
Companies that report sustainability data every year or quarter and rebuild the same collection from emails and spreadsheets each time.
Suppliers whose large customers send ESG questionnaires and expect consistent figures that can be traced back to source data.
Companies whose advisors have defined CSRD, GRI or ISSB metrics and now need the source data collected and prepared.
Energy, sales and operations data sits in ERP, BI and spreadsheets, each with different units, owners and reporting periods.
Supplier sheets arrive in different templates and units, and your team fixes the same values by hand every reporting cycle.
Companies that want to test one reporting flow and metric set in a pilot before committing to a larger data project.
The impact on our business has been transformative... Their proactive, forward-thinking approach is unique. They are constantly three steps ahead, bringing new ideas for our roadmap and pushing us to innovate in areas like customer journey, operations, and scalability.
Tarek Yafi
Co-Founder at Undrgoods
They really care for the business and delivering great outcomes for us - they work work, diligently and strive for quality… Really experienced and right attitude of people: highly-skilled, intelligent, passionate about their work. Internal processes are excellent: well-organised, clear, repeatable.
Dr. Petros Demetriades
CTO, Untamed Cat Food Ltd
Dinarys effectively addressed all aspects of the project. The team’s ability to adhere to the agreed schedule was exemplary. Dinarys is very flexible and responds quickly to dynamically changing requests. All our expectations were met.
Joseph Frank
CEO, Kaizen Technology Solutions
They consistently prioritized our needs and vision. They were quick to adjust strategies when needed. They prioritized delivering high-quality work rather than rushing to meet quotas. Their team showed deep knowledge and skills in mobile app development.
Yann Rigo
CIO, Panodyssey
Dinarys brought extensive technical expertise to the table, consistently delivering solutions that met our needs with precision and innovation. One of the most unique aspects of working with Dinarys was the excellent "chemistry" between our team and theirs. This synergy made it easy to tackle challenges and move the project forward with confidence.
Aaron Freitag
Managing Director, myfelt GmbH
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From scattered spreadsheets to one data flow you can rerun and check every reporting cycle.
Discuss your ESG dataChoose only the work your reporting needs. Each part is scoped and estimated on its own.
Assess
We link each approved metric to its owner, source system, unit and period, and list the gaps.
Source access and ownership checked
Metric definitions, units and periods agreed
Missing inputs listed before any build
Build
We extract permitted records, keep every source version and flag missing fields, duplicates and unit errors.
Extraction from ERP, BI and spreadsheets
Versioned, traceable transformations
Problem values held, never guessed
Corrections logged, originals kept
Hand over
We hand over the flow with mappings, logs and instructions, so your team can rerun every cycle.
Source-owner register and mappings
Check and exception logs
Operating instructions for your team
Ongoing support on agreed terms
We check access, structure and ownership of your sources and list missing inputs before anything is built.
We test one reporting flow and metric set for traceability, repeatability and the handling of exceptions.
We build the agreed sources, mappings and checks from a clear backlog, with an estimate before work starts.
Your team receives mappings, version records, check logs and instructions, and runs the flow on its own.
Every output can be checked and rerun, so your team keeps control of the data.
01
A metric register linking each metric to its owner, source, unit and period.
02
Source maps and extraction for every agreed system, file and supplier template.
03
Data pipelines with versioned, traceable transformations from source to reporting dataset.
04
Quality checks for missing fields, duplicates and unit errors, with an exception log.
05
A correction history that keeps the original value, the reason and the new version.
06
Operating instructions, so your team can rerun the flow every reporting cycle.
Data and reporting projects for iSi Group, a global manufacturer based in Vienna, Austria.
ESG data pipelines and data management for an international manufacturer
What we delivered:
Results that matter:
SAP BW/BI support and S/4HANA transition analysis for the same manufacturer
What we delivered:
Results that matter:
We bring structure, predictability, and control into software delivery.
Our approach is shaped by PMI-based project management, quality gates, risk management, and a success-first delivery culture.
We do not only take tasks and write code.
We analyze the business and technical context, identify the real bottleneck, challenge weak assumptions when needed, and take responsibility for the technical outcome.
We support technical leaders with experienced engineers, architecture expertise, and practical roadmap execution.
This helps CTOs and Fractional CTOs stay strategic while having a reliable team to execute.
Every dedicated team is built around the client’s actual requirements, workflow, culture, risks, and delivery context.
We assess technical skills, soft skills, project fit, culture fit, communication style, and risk factors before proposing engineers.
We start from the business process, compare platform features, ordinary automation and AI, and use AI only where it removes real work.
Every AI step gets quality checks and human oversight.
Good delivery depends on trust, honest communication, and people who care about the outcome.
We stay close to the problem, speak openly, involve the right experts, and do not leave clients alone with delivery risk.
It prepares the data behind your ESG reports: source mapping, pipelines, quality checks and handover, so every number traces back to its source. It does not decide what you must report.
No. Your legal or sustainability advisor confirms what applies, such as CSRD/ESRS, GRI or ISSB standards. We turn the approved metrics, units and periods into a working data flow.
For a small one-time request with accessible figures, a controlled spreadsheet may be enough. Engineering pays off when you rebuild the same collection every cycle or cannot trace a number.
Yes. If your ESG platform already supports your sources and checks, we start there and fill the gaps: ERP and BI extraction, supplier files and quality checks.
We hold the affected value instead of guessing, never filling it with zero or an estimate. The original, the correction and the rerun are kept, so the final number still points to its source.
It depends on the number and formats of your sources, how stable your metrics are, data access and quality, and whether you need a pilot or an operated service.
Tell us about your metrics, reporting periods, sources and current tools. We’ll suggest where to start and agree how to share sample data safely.
Talk to our team
