{"id":883823,"url":"https://alion.io/job/zinkworks-database-developer","title":"Database Developer","company":{"id":694430,"name":"Zinkworks","domain":"zinkworks.com","url":"https://alion.io/company/zinkworks","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":88,"open_postings":14,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-26T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Athlone, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":149000,"period":"year","method":"role_country_seniority_unknown","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-08-25T12:58:05Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-09-24T12:36:01Z","board_verified":false,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":32},"description":"About Zinkworks\nZinkworks partners with leading Telecommunications and Financial Services organizations to modernize legacy systems, migrate mission-critical platforms to the cloud, and engineer AI-driven automation. From OSS transformation to rApp development and network intelligence, our teams simplify complexity and turn it into competitive advantage. Based in Ireland and operating across the EU, UK, and US, Zinkworks combines deep domain expertise with delivery excellence to help clients modernize faster and operate smarter.\nAbout the Role\nZinkworks is seeking an experienced Data Engineer to design, develop, enhance, and support scalable cloud-based data solutions.\nThis is a hands-on engineering role suited to someone with a strong foundation in SQL, Python, database development, data modelling, and ETL/ELT pipeline delivery. You will work with established cloud data platforms, extending existing solutions and developing the pipelines, transformations, integrations, and data models needed to support operational, analytical, and AI-driven use cases.\nThe role will involve working with relational, NoSQL, and graph-oriented data models. Previous experience with Google Cloud Spanner or graph technologies would be beneficial, but it is not essential. We are particularly interested in strong data engineers who can apply sound engineering principles, work effectively with complex datasets, and quickly learn new platforms and technologies.\nKey Responsibilities\nDesign, develop, test, and maintain reliable and scalable ETL/ELT data pipelines using Apache Airflow.\n\nDevelop efficient SQL queries, stored logic, and Python-based data-processing solutions.\n\nWork with existing cloud data platforms and extend their schemas, integrations, transformations, and querying capabilities.\n\nBuild and maintain data solutions using cloud technologies such as:\nGoogle Cloud Dataflow, Dataform or dbt, BigQuery, and Cloud Spanner\n\nAzure Data Factory, Synapse Analytics, and Databricks\n\nAWS Glue and Lambda\n\nDesign and implement relational, dimensional, star-schema, NoSQL, and, where appropriate, graph-oriented data models.\n\nProcess and integrate data from structured, semi-structured, and unstructured sources.\n\nProfile source data, assess data quality, identify patterns and anomalies, and use these findings to inform data-model and pipeline design.\n\nImplement data-quality controls, reconciliation processes, automated validation, and pipeline testing.\n\nMonitor data pipelines and troubleshoot issues relating to performance, reliability, scalability, and data integrity.\n\nCollaborate with software engineers, architects, business analysts, testers, product teams, and client stakeholders to translate requirements into practical data solutions.\n\nContribute to technical design discussions and provide recommendations on data architecture, storage, transformation, and integration approaches.\n\nManage source code through Git and support automated build, test, and deployment processes using CI/CD and DevOps practices.\n\nApply appropriate security, access-control, data-governance, and compliance standards.\n\nProduce and maintain clear technical documentation covering data models, pipelines, transformations, dependencies, and operational procedures.\n\nParticipate fully in agile delivery activities, including planning, estimation, technical reviews, and continuous improvement.\n\nRequired Technical Skills and Experience\nStrong proficiency in SQL and hands-on experience with database development.\n\nExperience working with both relational and NoSQL databases.\n\nStrong experience using Python for data engineering, transformation, automation, or integration.\n\nProven experience designing, developing, and supporting ETL/ELT data pipelines using Apache Airflow.\n\nHands-on experience with data-engineering services within at least one major cloud platform, such as:\nGoogle Cloud Platform: Dataflow, Dataform or dbt, BigQuery\n\nMicrosoft Azure: Azure Data Factory, Synapse Analytics, Databricks\n\nAmazon Web Services: AWS Glue, Lambda\n\nStrong understanding of database and data-modelling principles, including relational models, dimensional models, and star-schema structures.\n\nExperience working with graph databases or graph-query technologies such as Neo4j, Gremlin, or Spanner Graph.\n\nExperience working with structured, semi-structured, and unstructured data.\n\nStrong data-analysis and profiling skills, including the ability to assess data quality, investigate anomalies, and identify patterns.\n\nExperience validating data transformations and testing data pipelines using both automated and manual approaches.\n\nExperience with Git, CI/CD, and DevOps delivery practices.\n\nUnderstanding of data security, access control, governance, and regulatory or compliance requirements.\n\nAbility to troubleshoot complex data issues and improve the performance, reliability, and maintainability of data solutions.\n\nDemonstrated ability to learn unfamiliar data platforms and technologies quickly.\n\nDesirable Technical Skills and Experience\nHands-on data-engineering experience within Google Cloud Platform.\n\nExperience with Google Cloud Spanner, including querying, schema extension, integration, or its graph capabilities.\n\nFamiliarity with Docker and Kubernetes.\n\nExperience with real-time data processing, streaming platforms, or event-driven architectures.\n\nTelecommunications industry experience, particularly involving network, operational, or OSS data.\n\nExperience supporting large-scale or distributed data platforms.\n\nFamiliarity with data lineage, observability, metadata management, and automated data-quality frameworks.\n\nExperience developing AI agents or integrating data platforms with agent-based systems.\n\nFamiliarity with integration frameworks and protocols such as the Model Context Protocol (MCP).\n\nProfessional Attributes\nStrong analytical and problem-solving capabilities.\n\nA keen eye for detail, data quality, and engineering standards.\n\nA practical, delivery-focused approach to solving complex data challenges.\n\nStrong communication skills and the ability to explain technical concepts to both technical and non-technical stakeholders.\n\nComfortable collaborating with developers, architects, analysts, testers, product teams, and client representatives.\n\nProven ability to work effectively in an agile, cross-functional environment.\n\nAbility to take ownership of work while contributing positively to the wider team.\n\nAdaptable and comfortable working with evolving requirements, technologies, and delivery priorities.\n\nA commitment to producing secure, maintainable, well-tested, and well-documented solutions.\n\nInclusion & Diversity at Zinkworks\nAt Zinkworks, we are deeply committed to fostering a culture of diversity, inclusion, and belonging. We believe that our strength lies in the unique backgrounds, perspectives, and experiences of our team members. By embracing an inclusive environment, we empower innovation and collaboration across all levels of our organisation. Based in Ireland, we are proud to support and engage with our local communities through meaningful initiatives that promote equity and opportunity. Our commitment extends beyond the workplace, as we actively contribute to creating a more inclusive and connected society for all.","description_format":"text","description_chars":7279,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-09-14T02:41:29Z"}],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.285,"p_room":1,"age_days":31,"expected_fill_days":121,"reasons":["conf:41","stale_co","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/zinkworks-database-developer","json_url":"https://alion.io/job/zinkworks-database-developer.json","meta":{"generated_at":"2026-09-27T00:29:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":424,"day_limit":5000,"remaining_today":4576,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}