Data Engineer

Job not on LinkedIn

🔥 9 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

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Synera

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

💰 $14.8M Series A on 2022-10

Artificial Intelligence

Synera is an AI Agent Platform designed to enhance engineering processes by multiplying capacity and reducing decision cycles. It leverages advanced technologies such as CAD, FEA, optimization, and simulation, and incorporates elements of process automation and AI. The platform aims to create a digital workforce that can think, decide, and execute tasks autonomously, mimicking the capabilities of skilled engineers.

📋 Description

• Own the Timescale data warehouse as Synera’s single source of truth • Extract data from Salesforce, HubSpot, product, finance, and other business systems into the warehouse • Structure and annotate data for querying • Build and own ETL pipelines, data models, and synchronization jobs • Build reporting and forecasting layers using Power BI, Salesforce reports, and forecast models • Extrapolate pipeline, funnel, and usage data to forecast business direction • Model and expose data through warehouse models, APIs, MCP connectors, permissions, and governance for AI agents • Build retrieval infrastructure for documents, wiki content, tickets, and meeting transcripts, including chunking, embeddings, and indexing • Version-control, test, document, monitor, validate, and maintain data transformations and data quality • Partner with teams across Synera to bring data into the warehouse and make machine-readable data the default • Establish the data foundation and knowledge layer for Synera’s company-wide superagent • Enable teams to self-serve answers through trustworthy data flows

🎯 Requirements

• SQL is second nature • Experience building ETL/data pipelines using Airflow or similar • Experience building data models • Strong data extraction and transformation skills • Experience building the data layer behind LLM applications, including retrieval, embeddings, vector search, context design, MCP, or comparable tool interfaces • Experience integrating multiple systems, including APIs, webhooks, authentication models, rate limits, and schema changes • Ability to debug data discrepancies across multiple tools • Data access and privacy awareness • Experience with scripts, APIs, workflow tools, and AI agents • Daily practical use of LLMs • Experience building reporting and forecasting used by stakeholders • Confident English communication • Clear communication with non-technical colleagues and executives • Ability to document systems and identify/fix underlying issues • German is a plus • Candidates must have residency in Germany

🏖️ Benefits

• Flexible working: you decide when & where to work (as long as you have a residency in Germany) • Flexible public holidays: swap days off according to your values and beliefs • Home office setup support • Access to the office in Bremen • Personal development budget of €2,000 for conferences, trainings, or books • Unlimited vacation policy / vacation days are not counted • JobRad • Company fitness with Wellpass • Mental health platform nilo • Regular team events, virtual coffee breaks, and spontaneous afterworks • Company off-sites twice a year for 2–3 days

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