{"id":2273577,"url":"https://alion.io/job/holcim-senior-data-engineer","title":"Senior Data Engineer","company":{"id":448278,"name":"Holcim","domain":"holcim.com","url":"https://alion.io/company/holcim-5","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":107000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kanban","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-17T02:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-11T23:43:20Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"SUMMARY OF THE JOB\nWe are seeking a seasoned Senior Data Engineer to design, build, and optimize our next-generation data platform. You will be responsible for architecting scalable data pipelines, managing large-scale distributed systems, and ensuring our data infrastructure in AWS and Databricks is robust and efficient. The ideal candidate is a Spark expert with a deep understanding of the AWS ecosystem and a passion for automation.\nMAIN ACTIVITIES / RESPONSIBILITIES\nPipeline Architecture: Design and implement complex batch and streaming ETL/ELT pipelines using Python, SQL, and Spark to process massive datasets.\n\nCloud Infrastructure: Leverage AWS Data Analytics services to build scalable, secure, and cost-effective data solutions.\n\nOrchestration & DevOps: Manage and automate data workflows using Airflow, while utilizing Docker and ECS for containerized application deployment.\n\nSystem Optimization: Monitor and tune the performance of distributed systems (Spark Cluster) to ensure high availability and low latency.\n\nInfrastructure as Code: Utilize AWS CloudFormation or Terraform to manage data infrastructure, ensuring repeatable and version-controlled environments.\n\nCost Optimization: Monitor and optimize AWS spend by selecting appropriate instance types (Spot vs. On-Demand) and refining data storage strategies.\n\nSecurity & Compliance: Implement IAM roles, bucket policies, and encryption (KMS) to ensure data is secure at rest and in transit.\n\nCollaboration: Work within an Agile framework to deliver iterative value, collaborating closely with Data Scientists and Stakeholders to translate business needs into technical reality.\n\nJOB DIMENSIONS\nList of direct reports:\nUp to 2 Direct Reports, and around 15 externals\n\nKey interfaces, stakeholders and relationships:\nInternal:\nGDS: product manager, application manager, data & analytics & AI team\n\nCountry business stakeholders\n\nExternal : 3rd party vendors\n\nPROFILE REQUIRED\nExperience: Minimum 4+ years of hands-on experience in active Big Data environments and 2+ years specializing in Data Analytics within AWS.\nCompute & Processing:Amazon EMR: Architecting and managing Spark clusters for large-scale distributed processing.\nAWS Glue: Developing serverless ETL jobs, managing the Data Catalog, and implementing Glue Crawlers.\n\nStorage & Warehousing:\nAmazon S3: Implementing \"Data Lake\" best practices, including partitioning, compression (Parquet/Avro), and lifecycle policies.\n\nAmazon Redshift: Designing star/snowflake schemas and optimizing query performance for high-volume data warehousing.\n\nAmazon Athena: Performing ad-hoc SQL analysis directly on S3 data.\n\nExperience with open table formats (iceberg/delta)\n\nOrchestration & Integration:\nAmazon MWAA (Managed Workflows for Apache Airflow): Deploying and scaling Airflow environments.\n\nAWS Lambda: Building event-driven data triggers and micro-services.\n\nStreaming (Advantage):Amazon Kinesis or MSK (Managed Streaming for Kafka) for real-time data ingestion.\n\nCore Engineering: Expert-level proficiency in Spark, Python, and SQL.\n\nInfrastructure & Tooling: Proven experience with Airflow for orchestration and Docker/ECS for containerization.\n\nGood knowledge in Databricks and data mesh architectures. Good understanding in how to implement and maintain Lakehouse data models (bronze / silver / gold layers) using Delta Lake for reliability, ACID transactions, time travel and schema evolution.\n\nSolid software engineering practices: Git, CI/CD for data pipelines, automated testing, code quality and documentation.\n\nCommunication: Excellent written and oral English communication skills, with the ability to explain complex technical concepts to non-technical audiences.\n\nDegree in Computer Science, Engineering, Mathematics or related field, or equivalent practical experience.\n\nPREFERRED “PLUS” QUALIFICATION\nReal-time Processing: Experience with streaming and distributed messaging applications like Flink and Kafka.\n\nCore Tech:Java programming.\n\nIndustrialise ML use cases\n\nData Visualization: Experience with QlikView or QlikSense to support BI initiatives.\n\nAgile: Experience working in a fast-paced Scrum or Kanban environment.\n\nCertifications: AWS Certified Data Engineer - Associate/Professional or AWS Certified Solutions Architect, Databricks Data engineer (Associated/Professional) certification\n\nDevOps: Experience with Openshift, Github Actions or Jenkins for CI/CD of data workflows.","description_format":"text","description_chars":4434,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":2,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Chemical Manufacturing","Kitchens, Bathrooms & Home Improvement"],"lifecycle":[{"event":"open","at":"2026-10-11T08:19:07Z"}],"visa":[],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.705,"p_room":0.55,"age_days":25,"expected_fill_days":22,"reasons":["conf:7","win:tail","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/holcim-senior-data-engineer","json_url":"https://alion.io/job/holcim-senior-data-engineer.json","meta":{"generated_at":"2026-10-12T14:16:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"assistant_verified","counted_by":"address","units_charged":1,"used_today":2859,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":448278},"rest":"https://alion.io/mcp/rest/get_company?id=448278"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fholcim-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fholcim-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fholcim-senior-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/holcim-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fholcim-senior-data-engineer"}]}