Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
Lead data engineering for high-scale batch and streaming platforms to deliver near-real-time, accurate reporting and customer-facing analytics. Own data quality and observability end-to-end, enabling trustworthy C-level dashboards and low-latency use cases. Operate and optimize OLAP serving layers (Vertica/ClickHouse) for sub-minute freshness at scale.
Help us shape the future of communications by:
Operating and evolve a large volume data lake and streaming pipelines with clear SLOs for latency, freshness, completeness, and accuracy. Establish on-call, runbooks, and incident response for data platform reliability .
Implementing data quality by design: data modeling/contracts, schema governance, and automated validation embedded in data pipelines and orchestration (Airflow/Dagster) .
Delivering high-accuracy reporting and certified metrics with a governed semantic layer, ensure consistent definitions across C-level dashboards and customer-facing APIs .
Building and optimize streaming use cases (Kafka + Spark/Flink) with exactly-once semantics, late-data handling, CDC, backfill strategies, set and meet near-real-time SLAs for dashboards .
Owning real-time OLAP serving: design and operate Vertica/ClickHouse tables, partitioning, indexing, projections/rollups, and retention to balance latency, cost, and concurrency .
Establishing end-to-end observability (metrics, logs, traces, lineage) across dataflows and APIs; track MTTD/MTTR and error budgets for data incidents .
Optimizing cost/performance across storage and compute (tiering, compression, query optimization, autoscaling) on OCI/AWS/GCP.
Shipping robust, versioned analytical APIs (batch/streaming) with SLAs, schema governance, and usage monitoring.
Coaching and grow high-performing teams, and communicate status and trade-offs clearly to executives and non-technical stakeholders.
Requirements
What you will bring:
8+ years in Data/Analytics with 3+ leading data engineering teams delivering production-grade pipelines and SLAs.
Proven track record operating large-scale OLAP stores and dimensional models, expert SQL/query optimization for analytics.
Production experience with streaming stacks (Kafka + Spark/Flink) powering near-real-time dashboards and APIs.
Hands-on with orchestration (Airflow) and CI/CD for data.
Cloud-native data architectures (OCI/AWS/GCP) with measurable cost optimization.
Data quality and observability ownership (data models/contracts, automated checks, lineage, SLOs).
Nice to have:
ClickHouse in production: schema design with MergeTree engines, partitioning/sorting, materialized views/rollups, replication, Kafka ingestion, and backup/restore.
As a Unifone you will receive a range of benefits:
Competitive salary and bonus.
Unifonic share scheme (we are all owners!).
30 holiday days after the first anniversary.
Your Birthday off!
Spend up to 25 days per year working from anywhere in the world!
Paid leave for new parents.
